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

@article{Wang2016AnEM,
  title={An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm},
  author={Lin Wang and Zhigang Wang and Shan Liu},
  journal={Expert Syst. Appl.},
  year={2016},
  volume={43},
  pages={237-249}
}
1/3 SUNY Korea BioData Mining Lab Journal Review multivariate time series (MTS) classification is a very difficult process because of the complexity of the MTS datatype. Among all the methods to resolve this problem, the attribute–value representation classification approaches are the most popular. Despite their proven effectiveness of these however, these approaches are time consuming, Sensitive to noise, or prone to damage of inner data properties as well as capable of producing undesirable… CONTINUE READING
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