Search results for "box-jenkins"

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.	IBERAMIA	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.	Peer-to-Peer Computing	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.	IWCMC	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 .	ISPA	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.	CDC	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.	CDC	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.	J. Intell. Robotic Syst.	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.	SCDM	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.	ICO	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.	ICCAIS	2021	DBLP DOI BibTeX RDF
31	Dario Piga, Valentina Breschi, Alberto Bemporad	Estimation of jump Box-Jenkins models.	Autom.	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.	CCECE	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.	Trans. Inst. Meas. Control	2019	DBLP DOI BibTeX RDF
31	Valentina Breschi, Dario Piga, Alberto Bemporad	Maximum-a-posteriori estimation of jump Box-Jenkins models.	CDC	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.	EJC	2019	DBLP DOI BibTeX RDF
31	Ahsan Ali, Mukhtar Ali	Identification of Box-Jenkins models for spatially interconnected systems in closed-loop.	Multidimens. Syst. Signal Process.	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.	Comput. Biol. Medicine	2018	DBLP DOI BibTeX RDF
31	Chompunooch Thamanukornsri, Montip Tiensuwan	Applications of Box-Jenkins (Seasonal ARIMA) and GARCH models to dengue incidence in Thailand.	Model. Assist. Stat. Appl.	2018	DBLP DOI BibTeX RDF
31	Vitaliy Yakovyna, Oleksandr Bachkai	The Comparison of Holt - Winters and Box - Jenkins Methods for Software Failures Prediction.	COLINS	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.	J. Frankl. Inst.	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.	EJC	2017	DBLP DOI BibTeX RDF
31	Muhammad Saeed Aslam	Comments on "Design of fractional adaptive strategy for input nonlinear Box-Jenkins systems".	Signal Process.	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.	Circuits Syst. Signal Process.	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.	J. Frankl. Inst.	2016	DBLP DOI BibTeX RDF
31	Yucai Zhu, Håkan Hjalmarsson	The Box-Jenkins Steiglitz-McBride algorithm.	Autom.	2016	DBLP DOI BibTeX RDF
31	Miguel Galrinho, Niklas Everitt, Håkan Hjalmarsson	ARX modeling of unstable Box-Jenkins models.	CoRR	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.	ISPACS	2016	DBLP DOI BibTeX RDF
31	Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja	Design of fractional adaptive strategy for input nonlinear Box-Jenkins systems.	Signal Process.	2015	DBLP DOI BibTeX RDF
31	Feng Ding 0001, Dandan Meng, Qi Wang	The model equivalence based parameter estimation methods for Box-Jenkins systems.	J. Frankl. Inst.	2015	DBLP DOI BibTeX RDF
31	Peter C. Young	Refined instrumental variable estimation: Maximum likelihood optimization of a unified Box-Jenkins model.	Autom.	2015	DBLP DOI BibTeX RDF
31	Mohamed Abdelmonim Hassan Darwish, Pepijn B. Cox, Gianluigi Pillonetto, Roland Tóth	Bayesian identification of LPV Box-Jenkins models.	CDC	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.	SSD	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.	J. Zhejiang Univ. Sci. C	2014	DBLP DOI BibTeX RDF
31	Xuehai Wang, Feng Ding 0001	Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems.	J. Frankl. Inst.	2014	DBLP DOI BibTeX RDF
31	Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary	Adaptive strategies for parameter estimation of Box-Jenkins systems.	IET Signal Process.	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.	Circuits Syst. Signal Process.	2013	DBLP DOI BibTeX RDF
31	Feng Ding 0001, Honghong Duan	Two-stage parameter estimation algorithms for Box-Jenkins systems.	IET Signal Process.	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.	ICSS	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.	Appl. Math. Comput.	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.	Int. J. Model. Identif. Control.	2012	DBLP DOI BibTeX RDF
31	John Boland 0001	Box-Jenkins Time Series Models.	International Encyclopedia of Statistical Science	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.	ACC	2011	DBLP DOI BibTeX RDF
31	Johan Schoukens, Yves Rolain, Gerd Vandersteen, Rik Pintelon	User friendly Box-Jenkins identification using nonparametric noise models.	CDC/ECC	2011	DBLP DOI BibTeX RDF
31	Maged Marghany, Mazlan Hashim	Retrieving seasonal sea surface salinity from MODIS satellite data using a Box-Jenkins algorithm.	IGARSS	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.	Autom.	2010	DBLP DOI BibTeX RDF
31	Dongqing Wang, Guowei Yang, Ruifeng Ding	Gradient-based iterative parameter estimation for Box-Jenkins systems.	Comput. Math. Appl.	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.	Digit. Signal Process.	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.	ACC	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.	LSMS/ICSEE (1)	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.	CDC	2009	DBLP DOI BibTeX RDF
31	Rik Pintelon, Johan Schoukens, Patrick Guillaume	Box-Jenkins identification revisited - Part III: Multivariable systems.	Autom.	2007	DBLP DOI BibTeX RDF
31	Kaushik Mahata, Hugues Garnier	Identification of continuous-time Box-Jenkins models with arbitrary time-delay.	CDC	2007	DBLP DOI BibTeX RDF
31	Rik Pintelon, Yves Rolain, Johan Schoukens	Box-Jenkins identification revisited - Part II: Applications.	Autom.	2006	DBLP DOI BibTeX RDF
31	Rik Pintelon, Johan Schoukens	Box-Jenkins identification revisited - Part I: Theory.	Autom.	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.	CDC/ECC	2005	DBLP DOI BibTeX RDF
31	Johan Schoukens, Rik Pintelon, Yves Rolain	Box-Jenkins alike identification using nonparametric noise models.	Autom.	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.	IC-AI	2003	DBLP BibTeX RDF
31	Yiu-Kwong Wong, Ahmad B. Rad, C. W. Yu, Chin Yeow Wong	On Box-Jenkins Modeling: An Intelligent Approach.	Int. J. Comput. Their Appl.	2002	DBLP BibTeX RDF
31	Urban Forssell, Lennart Ljung	Identification of unstable systems using output error and Box-Jenkins model structures.	IEEE Trans. Autom. Control.	2000	DBLP DOI BibTeX RDF
31	Rik Pintelon, Johan Schoukens, Yves Rolain	Box-Jenkins continuous-time modeling.	Autom.	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.	ECC	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.	SMC	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.	ICTAI	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.	NC	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.	Neurocomputing	1996	DBLP DOI BibTeX RDF
31	Zaiyong Tang, Chrys de Almeida, Paul A. Fishwick	Time series forecasting using neural networks vs. Box- Jenkins methodology.	Simul.	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.	Decis. Support Syst.	1990	DBLP DOI BibTeX RDF
31	Bruce A. Ingraham	Introduction to Box-Jenkins Forecasting.	Int. CMG Conference	1986	DBLP BibTeX RDF
31	Sangit Chatterjee, Jonathan F. Bard	A comparison of Box-Jenkins time series models with autoregressive processes.	IEEE Trans. Syst. Man Cybern.	1985	DBLP DOI BibTeX RDF
31	Guido Dobravsky	Box-Jenkins- und Exponential-Smoothing-Prädiktoren im theoretischen und praktischen Vergleich.		1984	RDF
31	Ingrid Cox	Lohn- und Preisbewegungen in der Bundesrepublik Deutschland von 1968 bis 1979: e. Analyse mit Hilfe d. Box-Jenkins-Verfahrens.		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.	IWANN (2)	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.	IDEAL	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.	UNISCON	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.	MoMM	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.	CDC	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.	DCAI	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.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF
22	Andrzej Domaradzki	AIS for Trend Change Detection.	CISIM	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.	IJCNN	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.	IJCNN	2007	DBLP DOI BibTeX RDF
22	K. Robert Lai, Yi-Yuan Chiang	Constraint-Based Fuzzy Models for an Environment with Heterogeneous Information-Granules.	J. Comput. Sci. Technol.	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.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
22	Georgi M. Dimirovski, Cvetko J. Andreeski	How Good ANN Identification of Post-Stabilization Inflation Dynamics Can Be?	IJCNN	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.	IIH-MSP	2006	DBLP DOI BibTeX RDF
22	Jayashri Vajpai, J. B. Arun	A Soft Computing Based Approach for Modeling of Chaotic Time Series.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
22	Faming Liang	Bayesian neural networks for nonlinear time series forecasting.	Stat. Comput.	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.	MICAI	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.	HIS	2005	DBLP DOI BibTeX RDF
22	HeeJun Song, SeonGu Lee, Sung-Hoe Huh	Input Selection for Support Vector Machines Using Genetic Algorithms.	CIS (1)	2005	DBLP DOI BibTeX RDF
22	Kate Revoredo, Gerson Zaverucha	Search-Based Class Discretization for Hidden Markov Model for Regression.	SBIA	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.	ICONIP	2004	DBLP DOI BibTeX RDF
22	Dongwon Kim, Sung-Hoe Huh, Gwi-Tae Park	Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System.	ICONIP	2004	DBLP DOI BibTeX RDF
22	Marjan Golob, Boris Tovornik	Decomposed Neuro-fuzzy ARX Model.	AFSS	2002	DBLP DOI BibTeX RDF
22	Marcelo Andrade Teixeira, Gerson Zaverucha	Fuzzy Markov Predictor with First and Second-Order Dependences.	SBRN	2002	DBLP DOI BibTeX RDF
22	Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir	NeuroInflow: The New Model to Forecast Average Monthly Inflow.	SBRN	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.	IWANN (1)	2001	DBLP DOI BibTeX RDF
22	Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir	Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model.	SBRN	2000	DBLP DOI BibTeX RDF
22	Peter A. Dinda, David R. O'Hallaron	An Evaluation of Linear Models for Host Load Prediction.	HPDC	1999	DBLP DOI BibTeX RDF
22	Shaun-Inn Wu, Ruey-Pyng Lu	Combining Artificial Neural Networks and Statistics for Stock-Market Forecasting.	ACM Conference on Computer Science	1993	DBLP DOI BibTeX RDF