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.
multivariate time series classification adaptive differential evolution algorithm recurrent neural network