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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 28 occurrences of 24 keywords
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Results
Found 100 publication records. Showing 100 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
159 | Elena Montañés, José Ramón Quevedo, Maria M. Prieto, César O. Menéndez |
Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IBERAMIA ![In: Advances in Artificial Intelligence - IBERAMIA 2002, 8th Ibero-American Conference on AI, Seville, Spain, November 12-15, 2002, Proceedings, pp. 491-499, 2002, Springer, 3-540-00131-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
Box-Jenkins Time Series, Continuous Machine Learning Systems, Neural Networks, Forecasting |
75 | Xinyao Hu, Shicong Meng, Cong Shi, Dingyi Han, Yong Yu |
Predicting Query Duplication with Box-Jenkins Models and Its Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Peer-to-Peer Computing ![In: Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), September 2-5, 2007, Galway, Ireland, pp. 79-86, 2007, IEEE Computer Society, 0-7695-2986-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
63 | Yee Wei Law, Supriyo Chatterjea, Jiong Jin, Thomas Hanselmann, Marimuthu Palaniswami |
Energy-efficient data acquisition by adaptive sampling for wireless sensor networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCMC ![In: Proceedings of the International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, IWCMC 2009, Leipzig, Germany, June 21-24, 2009, pp. 1146-1151, 2009, ACM, 978-1-60558-569-7. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
box-jenkins, adaptive sampling, ARIMA |
63 | Ke Deng, Hong Shen 0001 |
Self-projecting Time Series Forecast - An Online Stock Trend Forecast System . ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISPA ![In: Parallel and Distributed Processing and Applications, International Symposium, ISPA 2003, Aizu, Japan, July 2-4, 2003, Proceedings, pp. 28-43, 2003, Springer, 3-540-40523-2. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
Self-projecting, Box-Jenkins methodology, linear transfer function, time series, forecast, ARIMA |
53 | Vincent Laurain, Marion Gilson, Hugues Garnier, Peter C. Young |
Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, pp. 1386-1391, 2008, IEEE, 978-1-4244-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
44 | Tzvetan Ivanov, Pierre-Antoine Absil, Brian D. O. Anderson, Michel Gevers |
Application of real rational modules in system identification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, pp. 111-116, 2008, IEEE, 978-1-4244-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
41 | John V. Ringwood, D. Bofelli, Fiona T. Murray |
Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Robotic Syst. ![In: J. Intell. Robotic Syst. 31(1-3), pp. 129-147, 2001. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
electrical load, electricity demand, Box-Jenkins model, artificial neural networks, load forecasting |
31 | Intan Syazwani Noorain, Shuhaida Ismail, Aida Nabilah Sadon, Suhaila Mohd Yasin |
Application of Box-Jenkins, Artificial Neural Network and Support Vector Machine Model for Water Level Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SCDM ![In: Recent Advances in Soft Computing and Data Mining - Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022, Virtual Event., pp. 121-130, 2022, Springer, 978-3-031-00827-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
31 | Lesedi Ratshefola-Lerefolo, Kolentino N. Mpeta |
Analysis and Forecasting of Final Household Expenditure in South Africa Using Box-Jenkins - ARIMA Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICO ![In: ICO, pp. 1192-1196, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
31 | Ting Song, Tao Zhang, Dali Ding, Min Zhang, Xiaobo Deng, Guanglei Zhang |
Analysing and Predicting the maneuver behaviors of aircraft with Box-Jenkins ARIMA model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCAIS ![In: 2021 International Conference on Control, Automation and Information Sciences, ICCAIS 2021, Xi'an, China, October 14-17, 2021, pp. 307-312, 2021, IEEE, 978-1-6654-4029-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
31 | Dario Piga, Valentina Breschi, Alberto Bemporad |
Estimation of jump Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 120, pp. 109126, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
31 | Hmeda Musbah, Hamed H. Aly, Timothy A. Little |
A Novel Approach for Seasonality and Trend Detection using Fast Fourier Transform in Box-Jenkins Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCECE ![In: IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020, London, ON, Canada, August 30 - September 2, 2020, pp. 1-5, 2020, IEEE, 978-1-7281-5442-8. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
31 | Yamna Ghoul, Kaouther Ibn Taarit, Moufida Ksouri |
Identification of continuous-time hybrid 'Box-Jenkins' systems having multiple unknown time delays. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Trans. Inst. Meas. Control ![In: Trans. Inst. Meas. Control 41(2), pp. 366-377, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
31 | Valentina Breschi, Dario Piga, Alberto Bemporad |
Maximum-a-posteriori estimation of jump Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: 58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, pp. 1532-1537, 2019, IEEE, 978-1-7281-1398-2. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
31 | Krittiya Lertpocasombut, Supawut Sriploy |
Prediction to Industrial Waste Disposal Management by Using Box-Jenkins Method and Created Applications for a Company A and Their Service Providers in Thailand. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EJC ![In: Information Modelling and Knowledge Bases XXXI - Proceedings of the 29th International Conference on Information Modelling and Knowledge Bases, EJC 2019, Lappeenranta, Finland, June 3-7 2019., pp. 430-441, 2019, IOS Press, 978-1-64368-044-6. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
31 | Ahsan Ali, Mukhtar Ali |
Identification of Box-Jenkins models for spatially interconnected systems in closed-loop. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multidimens. Syst. Signal Process. ![In: Multidimens. Syst. Signal Process. 29(1), pp. 245-255, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
31 | Seyed Mohammad Mehdi Safi, Mohammad Pooyan, Ali Motie Nasrabadi |
SSVEP recognition by modeling brain activity using system identification based on Box-Jenkins model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Biol. Medicine ![In: Comput. Biol. Medicine 101, pp. 82-89, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
31 | Chompunooch Thamanukornsri, Montip Tiensuwan |
Applications of Box-Jenkins (Seasonal ARIMA) and GARCH models to dengue incidence in Thailand. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Model. Assist. Stat. Appl. ![In: Model. Assist. Stat. Appl. 13(2), pp. 95-105, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
31 | Vitaliy Yakovyna, Oleksandr Bachkai |
The Comparison of Holt - Winters and Box - Jenkins Methods for Software Failures Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
COLINS ![In: Proceedings of the 2nd International Conference on Computational Linguistics and Intelligent Systems, COLINS 2018, Volume I: Main Conference, Lviv, Ukraine, June 25-27, 2018., pp. 90-98, 2018, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
31 | Zhu Wang 0012, Xionglin Luo |
A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Frankl. Inst. ![In: J. Frankl. Inst. 354(18), pp. 8645-8658, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
31 | Krittiya Lertpocasombut, Supawut Sriploy |
Forecasting Industrial Wastes to Wastes Disposal Management by Using Box-Jenkins Autoregressive Integrated Moving Average Models and Excel Application: Case Study on Opthalmic Plastic Lens Production of Company A in Thailand. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EJC ![In: Information Modelling and Knowledge Bases XXIX, 27th International Conference on Information Modelling and Knowledge Bases (EJC 2017), Krabi, Thailand, June 5-9, 2017., pp. 201-215, 2017, IOS Press, 978-1-61499-833-4. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
31 | Muhammad Saeed Aslam |
Comments on "Design of fractional adaptive strategy for input nonlinear Box-Jenkins systems". ![Search on Bibsonomy](Pics/bibsonomy.png) |
Signal Process. ![In: Signal Process. 119, pp. 169-173, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
31 | Shaoxue Jing, Tianhong Pan, Zhengming Li |
Recursive Bayesian Algorithm with Covariance Resetting for Identification of Box-Jenkins Systems with Non-uniformly Sampled Input Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Circuits Syst. Signal Process. ![In: Circuits Syst. Signal Process. 35(3), pp. 919-932, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
31 | Zhu Wang, Qibing Jin, Xiaoping Liu |
Recursive least squares identification of hybrid Box-Jenkins model structure in open-loop and closed-loop. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Frankl. Inst. ![In: J. Frankl. Inst. 353(2), pp. 265-278, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
31 | Yucai Zhu, Håkan Hjalmarsson |
The Box-Jenkins Steiglitz-McBride algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 65, pp. 170-182, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
31 | Miguel Galrinho, Niklas Everitt, Håkan Hjalmarsson |
ARX modeling of unstable Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1603.04184, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
31 | Partha Sarathi Pal, A. Dasgupta, J. R. Akhil, Rajib Kar, Durbadal Mandal, S. P. Ghosal |
Identification of a Box-Jenkins structured two stage cascaded model using Simplex Particle Swarm Optimization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISPACS ![In: International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016, Phuket, Thailand, October 24-27, 2016, pp. 1-4, 2016, IEEE, 978-1-5090-0629-8. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
31 | Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja |
Design of fractional adaptive strategy for input nonlinear Box-Jenkins systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Signal Process. ![In: Signal Process. 116, pp. 141-151, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
31 | Feng Ding 0001, Dandan Meng, Qi Wang |
The model equivalence based parameter estimation methods for Box-Jenkins systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Frankl. Inst. ![In: J. Frankl. Inst. 352(12), pp. 5473-5485, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
31 | Peter C. Young |
Refined instrumental variable estimation: Maximum likelihood optimization of a unified Box-Jenkins model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 52, pp. 35-46, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
31 | Mohamed Abdelmonim Hassan Darwish, Pepijn B. Cox, Gianluigi Pillonetto, Roland Tóth |
Bayesian identification of LPV Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, pp. 66-71, 2015, IEEE, 978-1-4799-7886-1. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
31 | Sirine Essallah, Adel Bouallegue, Adel Khedher |
Performance evaluation of Box-Jenkins and linear-regressions methods versus the study-period's variations: Tunisian grid case. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSD ![In: 12th IEEE International Multi-Conference on Systems, Signals & Devices, SSD 2015, Mahdia, Tunisia, March 16-19, 2015, pp. 1-6, 2015, IEEE, 978-1-4799-1758-7. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
31 | Jing Chen 0007, Ruifeng Ding |
Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIRmode. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Zhejiang Univ. Sci. C ![In: J. Zhejiang Univ. Sci. C 15(2), pp. 147-152, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
31 | Xuehai Wang, Feng Ding 0001 |
Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Frankl. Inst. ![In: J. Frankl. Inst. 351(10), pp. 4749-4764, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
31 | Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary |
Adaptive strategies for parameter estimation of Box-Jenkins systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IET Signal Process. ![In: IET Signal Process. 8(9), pp. 968-980, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
31 | Jing Chen, Rui Ding |
An Auxiliary-Model-Based Stochastic Gradient Algorithm for Dual-Rate Sampled-Data Box-Jenkins Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Circuits Syst. Signal Process. ![In: Circuits Syst. Signal Process. 32(5), pp. 2475-2485, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
31 | Feng Ding 0001, Honghong Duan |
Two-stage parameter estimation algorithms for Box-Jenkins systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IET Signal Process. ![In: IET Signal Process. 7(8), pp. 646-654, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
31 | Walid Allafi, Keith J. Burnham |
Identification of Fractional-Order Continuous-Time Hybrid Box-Jenkins Models Using Refined Instrumental Variable Continuous-Time Fractional-Order Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICSS ![In: Advances in Systems Science - Proceedings of the International Conference on Systems Science 2013, ICSS 2013, Wroclaw, Poland, September 10-12, 2013, pp. 785-794, 2013, Springer, 978-3-319-01856-0. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
31 | Zhening Zhang, Jie Jia, Ruifeng Ding |
Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Math. Comput. ![In: Appl. Math. Comput. 218(9), pp. 5580-5587, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
31 | Fesmi Abdul Majeed, Hamad Karki, Mansour A. Karkoub, Youssef Lotfy Abdel-Magid |
Identification of a Box-Jenkins model for rotary drilling laboratory prototype. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Model. Identif. Control. ![In: Int. J. Model. Identif. Control. 17(4), pp. 302-314, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
31 | John Boland 0001 |
Box-Jenkins Time Series Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
International Encyclopedia of Statistical Science ![In: International Encyclopedia of Statistical Science, pp. 178-181, 2011, Springer, 978-3-642-04897-5. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
31 | Mukhtar Ali, Ahsan Ali, Hossam S. Abbas, Herbert Werner |
Identification of Box-Jenkins models for Parameter-Varying Spatially Interconnected systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACC ![In: American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, pp. 145-150, 2011, IEEE, 978-1-4577-0081-1. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
31 | Johan Schoukens, Yves Rolain, Gerd Vandersteen, Rik Pintelon |
User friendly Box-Jenkins identification using nonparametric noise models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC/ECC ![In: 50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, pp. 2148-2153, 2011, IEEE, 978-1-61284-800-6. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
31 | Maged Marghany, Mazlan Hashim |
Retrieving seasonal sea surface salinity from MODIS satellite data using a Box-Jenkins algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IGARSS ![In: 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, July 24-29, 2011, pp. 2017-2020, 2011, IEEE, 978-1-4577-1003-2. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
31 | Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier |
Refined instrumental variable methods for identification of LPV Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 46(6), pp. 959-967, 2010. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
31 | Dongqing Wang, Guowei Yang, Ruifeng Ding |
Gradient-based iterative parameter estimation for Box-Jenkins systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Math. Appl. ![In: Comput. Math. Appl. 60(5), pp. 1200-1208, 2010. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
31 | Yanjun Liu 0001, Dongqing Wang, Feng Ding 0001 |
Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Digit. Signal Process. ![In: Digit. Signal Process. 20(5), pp. 1458-1467, 2010. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
31 | Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier |
Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACC ![In: American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, pp. 3865-3870, 2010, IEEE, 978-1-4244-7427-1. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
31 | Jing Chen 0007, Xiuping Wang |
Multi-innovation Generalized Extended Stochastic Gradient Algorithm for Multi-Input Multi-Output Nonlinear Box-Jenkins Systems Based on the Auxiliary Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
LSMS/ICSEE (1) ![In: Life System Modeling and Intelligent Computing, International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part I, pp. 136-146, 2010, Springer, 978-3-642-15620-5. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
31 | Dongqing Wang, Jiyang Dai, Feng Ding 0001 |
Gradient-based iterative parameter estimation for Box-Jenkins systems with finite measurement data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, pp. 239-243, 2009, IEEE, 978-1-4244-3871-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
31 | Rik Pintelon, Johan Schoukens, Patrick Guillaume |
Box-Jenkins identification revisited - Part III: Multivariable systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 43(5), pp. 868-875, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
31 | Kaushik Mahata, Hugues Garnier |
Identification of continuous-time Box-Jenkins models with arbitrary time-delay. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: 46th IEEE Conference on Decision and Control, CDC 2007, New Orleans, LA, USA, December 12-14, 2007, pp. 3640-3645, 2007, IEEE, 978-1-4244-1497-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
31 | Rik Pintelon, Yves Rolain, Johan Schoukens |
Box-Jenkins identification revisited - Part II: Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 42(1), pp. 77-84, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
31 | Rik Pintelon, Johan Schoukens |
Box-Jenkins identification revisited - Part I: Theory. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 42(1), pp. 63-75, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
31 | Xavier Bombois, Michel Gevers, Gérard Scorletti |
Open-loop versus closed-loop identification of Box-Jenkins models: a new variance analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC/ECC ![In: 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005, pp. 3117-3122, 2005, IEEE, 0-7803-9567-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
31 | Johan Schoukens, Rik Pintelon, Yves Rolain |
Box-Jenkins alike identification using nonparametric noise models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 40(12), pp. 2083-2089, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
31 | Raúl Pino, José Parreño, Nazario García, María Mitre |
Forecasting the Electricity Market of Spain Using Box-Jenkins and Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IC-AI ![In: Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2, pp. 846-852, 2003, CSREA Press, 1-932415-13-0. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP BibTeX RDF |
|
31 | Yiu-Kwong Wong, Ahmad B. Rad, C. W. Yu, Chin Yeow Wong |
On Box-Jenkins Modeling: An Intelligent Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Their Appl. ![In: Int. J. Comput. Their Appl. 9(2), pp. 102-109, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP BibTeX RDF |
|
31 | Urban Forssell, Lennart Ljung |
Identification of unstable systems using output error and Box-Jenkins model structures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Autom. Control. ![In: IEEE Trans. Autom. Control. 45(1), pp. 137-141, 2000. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
31 | Rik Pintelon, Johan Schoukens, Yves Rolain |
Box-Jenkins continuous-time modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Autom. ![In: Autom. 36(7), pp. 983-991, 2000. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
31 | Joseph Bentsman, Andrzej W. Ordys |
Ill-posedness and Ill-conditioning in the use of CARMA, CARIMA and Box-Jenkins models in identification and control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECC ![In: 5th European Control Conference, ECC 1999, Karlsruhe, Germany, August 31 - September 3, 1999, pp. 3838-3843, 1999, IEEE, 978-3-9524173-5-5. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
|
31 | W. K. Tang, M. H. Wong, Y. K. Wong, T. S. Chung |
Load forecasting by fuzzy neural network in Box-Jenkins models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SMC ![In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, SMC 1998, Hyatt Regency La Jolla, San Diego, California, USA, October 11-14,1998, pp. 1738-1743, 1998, IEEE, 0-7803-4778-1. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
31 | Chih-Chou Chiu, Chao-Ton Su |
A novel neural network model using Box-Jenkins technique and response surface methodology to predict unemployment rate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI ![In: Tenth IEEE International Conference on Tools with Artificial Intelligence, ICTAI '98, Taipei, Taiwan, November 10-12, 1998, pp. 74-80, 1998, IEEE Computer Society, 0-7803-5214-9. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
31 | David de la Fuente, Raúl Pino, José Parreño |
Multivariate Forecasting of Electricity Production using Neural Network and Box-Jenkins Methodologies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NC ![In: Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), September 23-15, 1998, Vienna, Austria, pp. 874-877, 1998, ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, 3-906454-14-2. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP BibTeX RDF |
|
31 | Donald K. Wedding II, Krzysztof J. Cios |
Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neurocomputing ![In: Neurocomputing 10(2), pp. 149-168, 1996. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP DOI BibTeX RDF |
|
31 | Zaiyong Tang, Chrys de Almeida, Paul A. Fishwick |
Time series forecasting using neural networks vs. Box- Jenkins methodology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Simul. ![In: Simul. 57(5), pp. 303-310, 1991. The full citation details ...](Pics/full.jpeg) |
1991 |
DBLP DOI BibTeX RDF |
|
31 | Han G. van Dissel, Hans P. Borgman, Adrie J. M. Beulens |
Task-allocation between DSS and problem owner: The example of box & Jenkins time-series analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Decis. Support Syst. ![In: Decis. Support Syst. 6(4), pp. 339-345, 1990. The full citation details ...](Pics/full.jpeg) |
1990 |
DBLP DOI BibTeX RDF |
|
31 | Bruce A. Ingraham |
Introduction to Box-Jenkins Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. CMG Conference ![In: Twelfth International Computer Measurement Group Conference, Las Vegas, NV, USA, December 8-12, 1986, Proceedings, pp. 691-703, 1986, Computer Measurement Group. The full citation details ...](Pics/full.jpeg) |
1986 |
DBLP BibTeX RDF |
|
31 | Sangit Chatterjee, Jonathan F. Bard |
A comparison of Box-Jenkins time series models with autoregressive processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Syst. Man Cybern. ![In: IEEE Trans. Syst. Man Cybern. 15(2), pp. 252-259, 1985. The full citation details ...](Pics/full.jpeg) |
1985 |
DBLP DOI BibTeX RDF |
|
31 | Guido Dobravsky |
Box-Jenkins- und Exponential-Smoothing-Prädiktoren im theoretischen und praktischen Vergleich. ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
1984 |
RDF |
|
31 | Ingrid Cox |
Lohn- und Preisbewegungen in der Bundesrepublik Deutschland von 1968 bis 1979: e. Analyse mit Hilfe d. Box-Jenkins-Verfahrens. ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
1983 |
RDF |
|
27 | Raquel Redondo, Pedro Santos, Andrés Bustillo, Javier Sedano, José Ramón Villar 0001, Maritza Correa, José Ramón Alique, Emilio Corchado |
A Soft Computing System to Perform Face Milling Operations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN (2) ![In: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II, pp. 1282-1291, 2009, Springer, 978-3-642-02480-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
27 | Andrés Bustillo, Javier Sedano, José Ramón Villar 0001, Leticia Curiel, Emilio Corchado |
AI for Modelling the Laser Milling of Copper Components. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings, pp. 498-507, 2008, Springer, 978-3-540-88905-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
22 | R. J. Kuo 0001, Tung-Lai Hu, Zhen-Yao Chen |
Sales Forecasting Using an Evolutionary Algorithm Based Radial Basis Function Neural Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UNISCON ![In: Information Systems: Modeling, Development, and Integration, Third International United Information Systems Conference, UNISCON 2009, Sydney, Australia, April 21-24, 2009. Proceedings, pp. 65-74, 2009, Springer, 978-3-642-01111-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Sales forecasting, genetic algorithm, particle swarm optimization, radial basis function neural network, hybrid evolutionary algorithm |
22 | Cesar Augusto Hernandez Suarez, Octavio J. Salcedo Parra, Francisco J. Puente |
A proposal based on time series to predict traffic values inside a Wi-Fi data network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MoMM ![In: MoMM'2009 - The 7th International Conference on Advances in Mobile Computing and Multimedia, 14-16 December 2009, Kuala Lumpur, Malaysia, pp. 564-568, 2009, ACM, 978-1-60558-659-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
time series, correlation, communication network, traffic model, ARIMA |
22 | Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof |
Virtual closed loop identification: A generalized tool for identification in closed loop. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, pp. 1968-1973, 2008, IEEE, 978-1-4244-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
22 | Andrés Mejías, Sixto Romero, Francisco J. Moreno |
A Systematic Methodology to Obtain a Fuzzy Model Using an Adaptive Neuro Fuzzy Inference System. Application for Generating a Model for Gas-Furnace Problem. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DCAI ![In: International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2008, University of Salamanca, Spain, 22th-24th October 2008, pp. 452-460, 2008, Springer, 978-3-540-85862-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Input variable selection, local search, ANFIS |
22 | Juan Contreras Montes, Roger Misa Llorca, Luis Murillo Fernandez |
Interpretable Fuzzy Models from Data and Adaptive Fuzzy Control: A New Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUZZ-IEEE ![In: FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings, pp. 1-6, 2007, IEEE. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
22 | Andrzej Domaradzki |
AIS for Trend Change Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CISIM ![In: 6th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2007, Elk, Poland, June 28-30, 2007, pp. 161-165, 2007, IEEE Computer Society, 0-7695-2894-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
22 | Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal |
Neural Network vs. Linear Models for Stock Market Sectors Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, pp. 1365-1369, 2007, IEEE, 978-1-4244-1379-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
22 | Pedro Flores, Carlos Anaya, Hector M. Ramirez, Luis B. Morales |
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, pp. 1389-1396, 2007, IEEE, 978-1-4244-1379-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
22 | K. Robert Lai, Yi-Yuan Chiang |
Constraint-Based Fuzzy Models for an Environment with Heterogeneous Information-Granules. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Sci. Technol. ![In: J. Comput. Sci. Technol. 21(3), pp. 401-411, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
constraint-based problem solving, granular computing, fuzzy modeling, information granulation, computing with words |
22 | Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Yong Yu 0001 |
Mining and Predicting Duplication over Peer-to-Peer Query Streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM Workshops ![In: Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pp. 648-652, 2006, IEEE Computer Society, 0-7695-2702-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Georgi M. Dimirovski, Cvetko J. Andreeski |
How Good ANN Identification of Post-Stabilization Inflation Dynamics Can Be? ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 2098-2105, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Dingxue Zhang, Xinzhi Liu, Zhi-Hong Guan |
A Dynamic Clustering Algorithm Based on PSO and Its Application in Fuzzy Identification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IIH-MSP ![In: Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), Pasadena, California, USA, December 18-20, 2006, Proceedings, pp. 232-235, 2006, IEEE Computer Society, 0-7695-2745-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Jayashri Vajpai, J. B. Arun |
A Soft Computing Based Approach for Modeling of Chaotic Time Series. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP (1) ![In: Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I, pp. 505-512, 2006, Springer, 3-540-46479-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Faming Liang |
Bayesian neural networks for nonlinear time series forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 15(1), pp. 13-29, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Bayesian neural network, evolutionary Monte Carlo, nonlinear time series forecasting, Markov Chain Monte Carlo, Bayesian model averaging |
22 | Janset Kuvulmaz, Serkan Usanmaz, Seref Naci Engin |
Time-Series Forecasting by Means of Linear and Nonlinear Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICAI ![In: MICAI 2005: Advances in Artificial Intelligence, 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings, pp. 504-513, 2005, Springer, 3-540-29896-7. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
22 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença |
Modeling of the rainfall-runoff relationship with artificial neural network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HIS ![In: 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 6.9 November 2005, Rio de Janeiro, Brazil, pp. 548-550, 2005, IEEE Computer Society, 0-7695-2457-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
22 | HeeJun Song, SeonGu Lee, Sung-Hoe Huh |
Input Selection for Support Vector Machines Using Genetic Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIS (1) ![In: Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I, pp. 544-549, 2005, Springer, 3-540-30818-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
22 | Kate Revoredo, Gerson Zaverucha |
Search-Based Class Discretization for Hidden Markov Model for Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SBIA ![In: Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29 - October 1, 2004, Proceedings, pp. 317-325, 2004, Springer, 3-540-23237-0. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
regression-by-discretization, timeseries forecasting, machine learning, Hidden Markov Models |
22 | Marcelo Andrade Teixeira, Gerson Zaverucha |
A Partitioning Method for Fuzzy Probabilistic Predictors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP ![In: Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings, pp. 929-934, 2004, Springer, 3-540-23931-6. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Dongwon Kim, Sung-Hoe Huh, Gwi-Tae Park |
Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP ![In: Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings, pp. 1298-1303, 2004, Springer, 3-540-23931-6. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
22 | Marjan Golob, Boris Tovornik |
Decomposed Neuro-fuzzy ARX Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AFSS ![In: Advances in Soft Computing - AFSS 2002, 2002 AFSS International Conference on Fuzzy Systems. Calcutta, India, February 3-6, 2002, Proceedings, pp. 260-266, 2002, Springer, 3-540-43150-0. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Marcelo Andrade Teixeira, Gerson Zaverucha |
Fuzzy Markov Predictor with First and Second-Order Dependences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SBRN ![In: 7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil, pp. 80-85, 2002, IEEE Computer Society, 0-7695-1709-9. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir |
NeuroInflow: The New Model to Forecast Average Monthly Inflow. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SBRN ![In: 7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil, pp. 74-79, 2002, IEEE Computer Society, 0-7695-1709-9. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Flávio Joaquim de Souza, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco |
The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN (1) ![In: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I, pp. 174-183, 2001, Springer, 3-540-42235-8. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
22 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir |
Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SBRN ![In: 6th Brazilian Symposium on Neural Networks (SBRN 2000), 22-25 November 2000, Rio de Janiero, Brazil, pp. 117-119, 2000, IEEE Computer Society, 0-7695-0856-1. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
22 | Peter A. Dinda, David R. O'Hallaron |
An Evaluation of Linear Models for Host Load Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HPDC ![In: Proceedings of the Eighth IEEE International Symposium on High Performance Distributed Computing, HPDC'99, Redondo Beach, California, USA, August 3-6, 1999., pp. 87-96, 1999, IEEE Computer Society, 0-7695-0287-3. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
|
22 | Shaun-Inn Wu, Ruey-Pyng Lu |
Combining Artificial Neural Networks and Statistics for Stock-Market Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Conference on Computer Science ![In: Proceedings of the ACM 21th Conference on Computer Science, CSC '93, Indianapolis, IN, USA, February 16-18, 1993, pp. 257-264, 1993, ACM, 0-89791-558-5. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP DOI BibTeX RDF |
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