mlsanityData to 14 Oct 2026

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

arXiv 1905.09419 ↗First posted 22 May 2019cs.NE cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 May 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 0; 2025: 1.

2 papers.

  1. 2023Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delayscited by 10
  2. 2025Empirical Investigation into Configuring Echo State Networks for Representative Benchmark Problem Domainscited by 0