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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Vydané v:	Expert systems with applications Ročník 43; s. 237 - 249
Hlavní autori:	Wang, Lin, Wang, Zhigang, Liu, Shan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2016
Predmet:	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
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