Autocovariance Based Weighting Strategy for Time Series Prediction with Weighted LS-SVM

Paweł Majewski

doi:10.1007/3-540-32392-9_50

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Autocovariance Based Weighting Strategy for Time Series Prediction with Weighted LS-SVM

Paweł Majewski

Year: 2006 Advances in soft computing Pages: 446-450 Publisher: Springer Nature

DOI: 10.1007/3-540-32392-9_50

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Keywords:

Autocovariance Weighting Series (stratigraphy) Support vector machine Kernel (algebra) Chaotic Computer science Time series Pattern recognition (psychology) Algorithm Artificial intelligence Function (biology) Mathematics Machine learning

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Chaos control and synchronization

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Autocovariance Based Weighting Strategy for Time Series Prediction with Weighted LS-SVM

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