A modified echo state network in chaotic time series prediction

Abstract

Echo state network (ESN) is one of the most well-known types of reservoir computing because of its outstanding performance when chaotic time series prediction is conducted. However, sometimes it works poorly because the reservoir connectivity and weight structure are created randomly. To solve this problem, we propose a modified ESN based on contribution… (More)

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