Search results for "Time series prediction"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun	Time Series Prediction Based on Generalization Bounds for Support Vector Machine.	ISNN	2009	DBLP DOI BibTeX RDF	VC bounds, SVM, Time series prediction, AR model
3	Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny	MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction.	MCS	2009	DBLP DOI BibTeX RDF	NN3 data, Wilcoxon, diversity, MLP, Gaussian Processes, Time series prediction, Negative Correlation Learning
3	Jun Zhang 0003, Henry Shu-Hung Chung, Wai-Lun Lo	Chaotic Time Series Prediction Using a Neuro-Fuzzy System with Time-Delay Coordinates.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF	Chaotic time series prediction, time delay coordinate embedding, neuro-fuzzy systems
3	Zhiyuan Cai, Shaohua Ma, Yangyang Ge, Erzhi Wang	Time Series Prediction of Short Circuit Current for Synchronous Control of Synthetic Test Based on Delay Coordinate Embedding.	ICIC	2007	DBLP DOI BibTeX RDF	short circuit current, synthetic test, time series prediction, synchronous control
3	Chao Zhang, Pu Han, Guiji Tang, Guori Ji	Simulation of Time Series Prediction Based on Smooth Support Vector Regression.	ISNN	2007	DBLP DOI BibTeX RDF	turbine, support vector machine, regression, time series prediction, smooth method
3	Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy, Dhiya Al-Jumeily	Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	Polynomial neural network, pipelined network, exchange rate time series and financial time series prediction
3	Qun Dai, Songcan Chen	Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction.	Neural Processing Letters	2005	DBLP DOI BibTeX RDF	chain structure, discounted least square, improved circular back-propagation, multiple steps time series prediction, neural networks
3	Ray J. Frank, Neil Davey, Stephen P. Hunt	Time Series Prediction and Neural Networks.	Journal of Intelligent and Robotic Systems	2001	DBLP DOI BibTeX RDF	neural network predictor, window size estimation, singular value analysis, false nearest neighbour method, time series prediction
3	Vassilios Petridis, Athanasios Kehagias, Loukas Petrou, A. G. Bakirtzis, S. Kiartzis, H. Panagiotou, N. Maslaris	A Bayesian Multiple Models Combination Method for Time Series Prediction.	Journal of Intelligent and Robotic Systems	2001	DBLP DOI BibTeX RDF	Bayesian combined predictor, local predictors, time series prediction, short-term load forecasting
3	Yong Liu, Xin Yao	Time Series Prediction by Using Negatively Correlated Neural Networks.	SEAL	1998	DBLP DOI BibTeX RDF	Cooperation, Time Series Prediction, Generalisation, Neural Network Ensembles, Specialisation
2	Hongqiao Wang, Fuchun Sun, Yan-Ning Cai, Linge Ding, Ning Chen	An unbiased LSSVM model for classification and regression.	Soft Comput.	2010	DBLP DOI BibTeX RDF	Unbiased SVC, Chaotic time series prediction, Pattern classification, Cholesky factorization, LSSVM
2	Francesco Camastra, Maurizio Filippone	A comparative evaluation of nonlinear dynamics methods for time series prediction.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF
2	Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.	ICANN	2009	DBLP DOI BibTeX RDF	ensemble models, adaptivity, sliding window, time series prediction, nonstationarity, extreme learning machine
2	Feng Pan, Min Xia, Enjian Bai	A new hybrid model for time-series prediction.	IEEE ICCI	2009	DBLP DOI BibTeX RDF
2	Omer Ozan Sonmez, Nezih Yigitbasi, Alexandru Iosup, Dick H. J. Epema	Trace-based evaluation of job runtime and queue wait time predictions in grids.	HPDC	2009	DBLP DOI BibTeX RDF	time series prediction methods, performance evaluation, predictions, grid scheduling, trace-based simulation
2	Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi	Causality quantification and its applications: structuring and modeling of multivariate time series.	KDD	2009	DBLP DOI BibTeX RDF	markov chain, entropy, information theory, time series prediction, autoregressive model
2	Chi-Jie Lu, Chih-Chou Chiu, Jung-Li Yang	Integrating Nonlinear Independent Component Analysis and Neural Network in Stock Price Prediction.	IEA/AIE	2009	DBLP DOI BibTeX RDF	Nonlinear independent component analysis, stock price, neural network, time series prediction
2	Bao Rong Chang, Hsiu Fen Tsai	Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity.	Appl. Intell.	2009	DBLP DOI BibTeX RDF	ANFIS/NGARCH composite model, Quantum minimization, Overshoot effect, Volatility clustering, Nonlinear heteroscedasticity, Time-series prediction
2	Salvador González Mendivil, Oscar Castillo, Patricia Melin	Optimization of Artificial Neural Network Architectures for Time Series Prediction Using Parallel Genetic Algorithms.	Soft Computing for Hybrid Intelligent Systems	2008	DBLP DOI BibTeX RDF
2	Phayung Meesad, Tong Srikhacha	Stock Price Time Series Prediction using Neuro-Fuzzy with Support Vector Guideline System.	SNPD	2008	DBLP DOI BibTeX RDF	NFSV, Prediction, Time Series, Neuro Fuzzy, Support Vector, Stock
2	Rashidi Khazaee Parviz, Nasser Mozayani, Mohammad-Reza Jahed Motlagh	Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction.	ICANN	2008	DBLP DOI BibTeX RDF
2	Md. Shiblee, Prem Kumar Kalra, B. Chandra	Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach.	ICONIP	2008	DBLP DOI BibTeX RDF
2	Guoshao Su	A New Intelligent Model for Nonlinear Time Series Prediction.	CSSE	2008	DBLP DOI BibTeX RDF
2	Shukuan Lin, Shaomin Zhang, Jianzhong Qiao, Hualei Liu, Ge Yu	A Parameter Choosing Method of SVR for Time Series Prediction.	ICYCS	2008	DBLP DOI BibTeX RDF
2	Boyang Li, Jinglu Hu, Kotaro Hirasawa	Financial time series prediction using a support vector regression network.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Hsio-Yi Lin, An-Pin Chen	Application of dynamic financial time-series prediction on the interval Artificial Neural Network approach with Value-at-Risk model.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Haibin Cheng, Pang-Ning Tan	Semi-supervised learning with data calibration for long-term time series forecasting.	KDD	2008	DBLP DOI BibTeX RDF	semi-supervised learning, time series prediction
2	Musa Alci	Fuzzy rule-base driven orthogonal approximation.	Neural Computing and Applications	2008	DBLP DOI BibTeX RDF	Orthogonal functions, Fuzzy system modeling, Time series prediction
2	Zhiwei Shi, Min Han	Support Vector Echo-State Machine for Chaotic Time-Series Prediction.	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
2	Guilherme De A. Barreto	Time Series Prediction with the Self-Organizing Map: A Review.	Perspectives of Neural-Symbolic Integration	2007	DBLP DOI BibTeX RDF
2	Tiejun Jiang, Shuzong Wang, Ruxiang Wei	Support Vector Machine with Composite Kernels for Time Series Prediction.	ISNN	2007	DBLP DOI BibTeX RDF
2	Venkataramana B. Kini, C. Chandra Sekhar	Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction.	ICCTA	2007	DBLP DOI BibTeX RDF
2	Francesco Camastra, Maurizio Filippone	SVM-Based Time Series Prediction with Nonlinear Dynamics Methods.	KES	2007	DBLP DOI BibTeX RDF
2	Weiwei Wang	Time Series Prediction Based on Support Vector Machines Experts and Genetic Algorithm.	FSKD	2007	DBLP DOI BibTeX RDF
2	Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya	A Co-training Approach for Time Series Prediction with Missing Data.	MCS	2007	DBLP DOI BibTeX RDF	fuzzy inductive reasoning, ensemble prediction, semi-supervised learning, k-nearest neighbor, missing data, Time series prediction, co-training
2	Min Han, Ru Wei	Variable Selection for Multivariate Time Series Prediction with Neural Networks.	ICONIP	2007	DBLP DOI BibTeX RDF	neural network pruning, multivariate prediction, sensitivity, Variable selection
2	Wilfredo J. Puma-Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben	Long-term time series prediction using wrappers for variable selection and clustering for data partition.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Dymitr Ruta, Bogdan Gabrys	Neural Network Ensembles for Time Series Prediction.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Amaury Lendasse, Elia Liitiäinen	Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Antti Sorjamaa, Amaury Lendasse	Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Yang Lan, Daniel Neagu	Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction.	ADMA	2007	DBLP DOI BibTeX RDF	Pseudo-periodical Time Series Prediction, n th -order Difference, Time Series Analysis
2	Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Xiushan Cai, Jinshan Wang, Meiying Ye	Time Series Prediction Using LS-SVM with Particle Swarm Optimization.	ISNN	2006	DBLP DOI BibTeX RDF
2	Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén	Analysis of Fast Input Selection: Application in Time Series Prediction.	ICANN	2006	DBLP DOI BibTeX RDF
2	Rahib Hidayat Abiyev	Time Series Prediction Using Fuzzy Wavelet Neural Network Model.	ICANN	2006	DBLP DOI BibTeX RDF
2	Jian-Sheng Qian, Jian Cheng, Yi-Nan Guo	A Novel Multiple Support Vector Machines Architecture for Chaotic Time Series Prediction.	ICNC	2006	DBLP DOI BibTeX RDF
2	XueMin Mao, Jie Yang	Time Series Prediction Using Nonlinear Support Vector Regression Based on Classification.	CIMCA/IAWTIC	2006	DBLP DOI BibTeX RDF	regression algorithm, time series, SVR (support vector regression), kernel function, training algorithm
2	Jose M. P. Menezes Jr., Guilherme De A. Barreto	A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network.	SBRN	2006	DBLP DOI BibTeX RDF
2	Ahmad Banakar, Mohammad Fazle Azeem	Generalized Wavelet Neural Network Model and its Application in Time Series Prediction.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Habib Dhahri, Adel M. Alimi	The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Wilfredo J. Puma-Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben	Data partition and variable selection for time series prediction using wrappers.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Sven F. Crone, Stefan Lessmann, Swantje Pietsch	Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu	Local Support Vector Regression for Financial Time Series Prediction.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Hwan Il Kang	A Fuzzy Time Series Prediction Method Using the Evolutionary Algorithm.	ICIC	2005	DBLP DOI BibTeX RDF
2	Antti Sorjamaa, Jin Hao, Amaury Lendasse	Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction.	ICANN	2005	DBLP DOI BibTeX RDF	Time Series, Mutual Information, k-NN, Input Selection
2	Carmen Fierascu	Counterpropagation with Delays with Applications in Time Series Prediction.	ICANN	2005	DBLP DOI BibTeX RDF
2	Ooi Boon Yaik, Chan Huah Yong, Fazilah Haron	Time Series Prediction using Adaptive Association Rules.	DFMA	2005	DBLP DOI BibTeX RDF
2	Michel Verleysen, Damien François	The Curse of Dimensionality in Data Mining and Time Series Prediction.	IWANN	2005	DBLP DOI BibTeX RDF
2	Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse	Direct and Recursive Prediction of Time Series Using Mutual Information Selection.	IWANN	2005	DBLP DOI BibTeX RDF	Direct Prediction, Recursive Prediction, Least Squares Support Vector Machines and Prediction Strategy, Mutual Information, Time Series Prediction
2	Antti Sorjamaa, Nima Reyhani, Amaury Lendasse	Input and Structure Selection for k-NN Approximator.	IWANN	2005	DBLP DOI BibTeX RDF	Leave-one-out and Model Structure Selection, Bootstrap, Time Series Prediction, k-NN
2	Uros Lotric, Andrej Dobnikar	Predicting time series using neural networks with wavelet-based denoising layers.	Neural Computing and Applications	2005	DBLP DOI BibTeX RDF	Feedforward and recurrent neural networks, Wavelet multiresolution analysis, Gradient-based threshold adaptation, Denoising, Time series prediction
2	Tasos Falas, Andreas Stafylopatis	Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm.	Neural Processing Letters	2005	DBLP DOI BibTeX RDF	scaled conjugate gradient, reinforcement learning, time series prediction, temporal-difference learning
2	Minglun Cai, Feng Cai, Aiguo Shi, Bo Zhou, Yongsheng Zhang	Chaotic Time Series Prediction Based on Local-Region Multi-steps Forecasting Model.	ISNN	2004	DBLP DOI BibTeX RDF
2	Taeho Jo	The Effect of Deterministic and Stochastic VTG Schemes on the Application of Backpropagation to Multivariate Time Series Prediction.	IEA/AIE	2004	DBLP DOI BibTeX RDF
2	Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota	Nonstationary Time Series Prediction Using Local Models Based on Competitive Neural Networks.	IEA/AIE	2004	DBLP DOI BibTeX RDF
2	Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu	Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.	ICONIP	2004	DBLP DOI BibTeX RDF
2	Jie Zuo, Changjie Tang, Chuan Li, Chang-an Yuan, An-long Chen	Time Series Prediction Based on Gene Expression Programming.	WAIM	2004	DBLP DOI BibTeX RDF
2	Bo Xu, Ouri Wolfson	Time-series prediction with applications to traffic and moving objects databases.	MobiDE	2003	DBLP DOI BibTeX RDF	spatio-temporal query, moving objects databases, time-series prediction
2	Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen	Nonlinear Time Series Prediction by Weighted Vector Quantization.	International Conference on Computational Science	2003	DBLP DOI BibTeX RDF
2	Kah Phooi Seng, Kai-Ming Tse	Nonlinear Time Series Prediction Based on Lyapunov Theory-Based Fuzzy Neural Network and Multiobjective Genetic Algorithm.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF
2	Massimo Panella, Fabio Massimo Frattale Mascioli, Antonello Rizzi, Giuseppe Martinelli	ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction.	WIRN	2003	DBLP DOI BibTeX RDF
2	Amaury Lendasse, Vincent Wertz, Michel Verleysen	Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models.	ICANN	2003	DBLP DOI BibTeX RDF
2	Alicia Troncoso Lora, Jesús Riquelme Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos	Time-Series Prediction: Application to the Short-Term Electric Energy Demand.	CAEPIA	2003	DBLP DOI BibTeX RDF
2	Thanapant Raicharoen, Chidchanok Lursinsap, Paron Sanguanbhokai	Application of critical support vector machine to time series prediction.	ISCAS	2003	DBLP DOI BibTeX RDF
2	Grigorios N. Beligiannis, Spiridon D. Likothanassis, Lambros Skarlas	Evolutionary Multi-model Estimators for ARMA System Modeling and Time Series Prediction.	IWANN	2003	DBLP DOI BibTeX RDF
2	Jesús González, Ignacio Rojas, Héctor Pomares	Evolutive Identification of Fuzzy Systems for Time-Series Prediction.	PPSN	2002	DBLP DOI BibTeX RDF	evolution, multiobjective optimization, Fuzzy systems
2	Pedro de Almeida, Luís Torgo	The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction.	EPIA	2001	DBLP DOI BibTeX RDF
2	Kok Keong Teo, Lipo Wang, Zhiping Lin	Wavelet Packet Multi-layer Perceptron for Chaotic Time Series Prediction: Effects of Weight Initialization.	International Conference on Computational Science	2001	DBLP DOI BibTeX RDF
2	Hirotaka Inoue, Yoshinobu Fukunaga, Hiroyuki Narihisa	Efficient Hybrid Neural Network for Chaotic Time Series Prediction.	ICANN	2001	DBLP DOI BibTeX RDF
2	Shai Policker, Amir B. Geva	A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering.	ICPR	2000	DBLP DOI BibTeX RDF
2	T. C. Chin, J. Ang, N. S. Seah, D. P. Mital, H. C. Chua	Markov-switching regime for time series prediction.	KES	2000	DBLP DOI BibTeX RDF
2	Hiroshi Wakuya, Jacek M. Zurada	Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style.	IJCNN	2000	DBLP DOI BibTeX RDF
2	Rong Jiang, Deyi Li, Hui Chen	Time-Series Prediction with Cloud Models in DMKD.	PAKDD	1999	DBLP DOI BibTeX RDF
2	Amir B. Geva	ScaleNet-multiscale neural-network architecture for time series prediction.	IEEE Transactions on Neural Networks	1998	DBLP DOI BibTeX RDF
2	Ivan De Falco, Aniello Iazzetta, P. Natale, Ernesto Tarantino	Evolutionary Neural Networks for Nonlinear Dynamics Modeling.	PPSN	1998	DBLP DOI BibTeX RDF	Breeder Genetic Algorithms, Genetic Algorithms, Artificial Neural Networks, Time Series Prediction
1	Okan Duru, Emrah Bulut, Shigeru Yoshida	A fuzzy extended DELPHI method for adjustment of statistical time series prediction: An empirical study on dry bulk freight market case.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Patricia Melin, Jesus Soto, Oscar Castillo, Jose Soria	A new approach for time series prediction using ensembles of ANFIS models.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Vasilii A. Gromov, Artem N. Shulga	Chaotic time series prediction with employment of ant colony optimization.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Hui Jiang, Wenwu He	Grey relational grade in local support vector regression for financial time series prediction.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	W. K. Wong, S. Y. S. Leung, Z. X. Guo	Feedback controlled particle swarm optimization and its application in time-series prediction.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Decai Li, Min Han, Jun Wang	Chaotic Time Series Prediction Based on a Novel Robust Echo State Network.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Hideki Katagiri, Ichiro Nishizaki, Tomohiro Hayashida, Takanori Kadoma	Multiobjective Evolutionary Optimization of Training and Topology of Recurrent Neural Networks for Time-Series Prediction.	Comput. J.	2012	DBLP DOI BibTeX RDF
1	Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman	A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	Rohitash Chandra, Mengjie Zhang	Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	Dymitr Ruta, Bogdan Gabrys, Christiane Lemke	A Generic Multilevel Architecture for Time Series Prediction.	IEEE Trans. Knowl. Data Eng.	2011	DBLP DOI BibTeX RDF
1	Stefan Babinec, Jiri Pospichal	Modular Echo State Neural Networks in Time Series Prediction.	Computing and Informatics	2011	DBLP BibTeX RDF
1	Cristóbal Luque, José María Valls, Pedro Isasi	Time series prediction evolving Voronoi regions.	Appl. Intell.	2011	DBLP DOI BibTeX RDF
1	David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos	Efficiency of local models ensembles for time series prediction.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Young-Keun Bang, Chul-Heui Lee	Fuzzy time series prediction using hierarchical clustering algorithms.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Harya Widiputra, Russel Pears, Nikola Kasabov	Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction.	Cybernetics and Systems	2011	DBLP DOI BibTeX RDF
1	Rahib H. Abiyev	Fuzzy wavelet neural network based on fuzzy clustering and gradient techniques for time series prediction.	Neural Computing and Applications	2011	DBLP DOI BibTeX RDF