Effect of shapes of activation functions on predictability in the echo state network

Hanten Chang; Hiroyasu Ando; Shinji Nakaoka

Effect of shapes of activation functions on predictability in the echo state network

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arxiv 1905.09419 v1 pith:6BHWHV4B submitted 2019-05-22 cs.NE cs.LG

Effect of shapes of activation functions on predictability in the echo state network

Hanten Chang , Shinji Nakaoka , Hiroyasu Ando This is my paper

classification cs.NE cs.LG

keywords activationfunctionsechokindsstateaccuracyappropriatecompared

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We investigate prediction accuracy for time series of Echo state networks with respect to several kinds of activation functions. As a result, we found that some kinds of activation functions with an appropriate nonlinearity show high performance compared to the conventional sigmoid function.

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