Using support vector machines for time series prediction

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/s0169-7439(03)00111-4 ◽

2003 ◽

Vol 69 (1-2) ◽

pp. 35-49 ◽

Author(s):

U Thissen ◽

R van Brakel ◽

A.P de Weijer ◽

W.J Melssen ◽

L.M.C Buydens

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Time Series Prediction ◽

Support Vector ◽

Vector Machines

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Chaotic time series prediction using knowledge based Green’s Kernel and least-squares support vector machines

2007 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2007.4414023 ◽

2007 ◽

Author(s):

Tahir Farooq ◽

Aziz Guergachi ◽

Sridhar Krishnan

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Time Series Prediction ◽

Chaotic Time Series ◽

Support Vector ◽

Knowledge Based ◽

Vector Machines ◽

Chaotic Time Series Prediction

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A COMPARISON OF SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS IN HYDROLOGICAL/METEOROLOGICAL TIME SERIES PREDICTION

Advances in Geosciences ◽

10.1142/9789812708915_0009 ◽

2010 ◽

pp. 91-96 ◽

Author(s):

DULAKSHI S. K. KARUNASINGHA ◽

SHIE-YUI LIONG

Keyword(s):

Neural Networks ◽

Time Series ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Time Series Prediction ◽

Support Vector ◽

Vector Machines ◽

Artificial Neural

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Time Series Prediction Using Support Vector Machines: A Survey

IEEE Computational Intelligence Magazine ◽

10.1109/mci.2009.932254 ◽

2009 ◽

Vol 4 (2) ◽

pp. 24-38 ◽

Author(s):

Nicholas Sapankevych ◽

Ravi Sankar

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Time Series Prediction ◽

Support Vector ◽

Vector Machines

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A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction

Quality and Reliability Engineering International ◽

10.1002/qre.2098 ◽

2016 ◽

Vol 32 (8) ◽

pp. 2717-2738 ◽

Author(s):

Xin Wang ◽

Ji Wu ◽

Chao Liu ◽

Senzhang Wang ◽

Wensheng Niu

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Hybrid Model ◽

Spectrum Analysis ◽

Failure Time ◽

Time Series Prediction ◽

Singular Spectrum Analysis ◽

Support Vector ◽

Singular Spectrum ◽

Vector Machines

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The Combining Kernel Principal Component Analysis with Support Vector Machines for Time Series Prediction Model

2008 Second International Symposium on Intelligent Information Technology Application ◽

10.1109/iita.2008.457 ◽

2008 ◽

Author(s):

Qisong Chen ◽

Xiaowei Chen ◽

Yun Wu

Keyword(s):

Principal Component Analysis ◽

Time Series ◽

Support Vector Machines ◽

Prediction Model ◽

Time Series Prediction ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Support Vector ◽

Vector Machines

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Time series prediction using support vector machines, the orthogonal and the regularized orthogonal least-squares algorithms

International Journal of Systems Science ◽

10.1080/0020772021000017317 ◽

2002 ◽

Vol 33 (10) ◽

pp. 811-821 ◽

Author(s):

K. L. Lee ◽

S. A. Billings

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Time Series Prediction ◽

Support Vector ◽

Orthogonal Least Squares ◽

Vector Machines

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Chaotic time series prediction using least squares support vector machines

Chinese Physics ◽

10.1088/1009-1963/13/4/007 ◽

2004 ◽

Vol 13 (4) ◽

pp. 454-458 ◽

Author(s):

Ye Mei-Ying ◽

Wang Xiao-Dong

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Time Series Prediction ◽

Chaotic Time Series ◽

Support Vector ◽

Vector Machines ◽

Chaotic Time Series Prediction

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A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/11893028_99 ◽

2006 ◽

pp. 892-899 ◽

Author(s):

Jian Cheng ◽

Jian-sheng Qian ◽

Yi-nan Guo

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Time Series Prediction ◽

Chaotic Time Series ◽

Support Vector ◽

Vector Machines ◽

Chaotic Time Series Prediction

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Time series prediction via new support vector machines

Proceedings. International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2002.1176775 ◽

2003 ◽

Author(s):

Jia-Yuan Zhu ◽

Bo Ren ◽

Heng-Xi Zhang ◽

Zhen-Ting Deng

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Time Series Prediction ◽

Support Vector ◽

Vector Machines

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Financial time series prediction using least squares support vector machines within the evidence framework

IEEE Transactions on Neural Networks ◽

10.1109/72.935093 ◽

2001 ◽

Vol 12 (4) ◽

pp. 809-821 ◽

Author(s):

T. Van Gestel ◽

J.A.K. Suykens ◽

D.-E. Baestaens ◽

A. Lambrechts ◽

G. Lanckriet ◽

...

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Financial Time Series ◽

Time Series Prediction ◽

Support Vector ◽

Financial Time ◽

Evidence Framework ◽

Vector Machines

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