An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

•Propose a new multivariate time series classification approach (CADE).•Incorporate an efficient ADE for optimal decision of parameters in learning phase.•CADE outperforms other approaches in terms of accuracy for most cases.•CADE shows good robustness for all the cases. The multivariate time series...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 43; pp. 237 - 249
Main Authors:	Wang, Lin, Wang, Zhigang, Liu, Shan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2016
Subjects:	Adaptive algorithms Adaptive differential evolution algorithm Classification Classifiers Clouds Multivariate time series classification Networks Recurrent neural network Representations Time series Training Recurrent neural network Adaptive differential evolution algorithm Multivariate time series classification
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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