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

May 22, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Hanten Chang, Shinji Nakaoka, Hiroyasu Ando arXiv ID 1905.09419 Category cs.NE: Neural & Evolutionary Cross-listed cs.LG Citations 7 Venue arXiv.org Last Checked 4 months ago
Abstract
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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