回声状态网络中的一致性。

Consistency in echo-state networks.

作者信息

Lymburn Thomas, Khor Alexander, Stemler Thomas, Corrêa Débora C, Small Michael, Jüngling Thomas

机构信息

Complex Systems Group, Department of Mathematics and Statistics, The University of Western Australia, Crawley, Western Australia 6009, Australia.

出版信息

Chaos. 2019 Feb;29(2):023118. doi: 10.1063/1.5079686.

DOI:10.1063/1.5079686

PMID:30823707

Abstract

Consistency is an extension to generalized synchronization which quantifies the degree of functional dependency of a driven nonlinear system to its input. We apply this concept to echo-state networks, which are an artificial-neural network version of reservoir computing. Through a replica test, we measure the consistency levels of the high-dimensional response, yielding a comprehensive portrait of the echo-state property.

摘要

一致性是广义同步的一种扩展，它量化了一个受驱动的非线性系统对其输入的功能依赖程度。我们将这一概念应用于回声状态网络，它是储层计算的一种人工神经网络形式。通过一个复制测试，我们测量了高维响应的一致性水平，从而得到了回声状态特性的全面描述。