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[01817] Time-series medical data classification using echo state network

  • Session Time & Room : 3D (Aug.23, 15:30-17:10) @E811
  • Type : Contributed Talk
  • Abstract : Most time-series medical data classification tasks are carried out using deep recurrent neural networks. However, deep neural networks tend to consume enormous computational power. Echo state network is an efficient model for processing temporal data due to its low training cost. The reservoir maps input signals into a high-dimensional dynamical system and the readout layer extracts patterns from it. Therefore, we developed a new methodology that can classify time-series data using echo state network.
  • Classification : 68T07, 62R07, 62P10
  • Format : Talk at Waseda University
  • Author(s) :
    • Zonglun Li (University College London)