回声状态网络中的一致性
动力系统
2019-02-20 v1
摘要
一致性是广义同步的扩展，它量化了受驱非线性系统对其输入的函数依赖程度。我们将这一概念应用于回声状态网络，即储层计算的人工神经网络版本。通过副本检验，我们测量了高维响应的一致性水平，从而得到了回声状态性质的全面刻画。
引用
@article{arxiv.1901.07729,
title = {Consistency in Echo-State Networks},
author = {Thomas Lymburn and Alexander Khor and Thomas Stemler and Débora C. Corrêa and Michael Small and Thomas Jüngling},
journal= {arXiv preprint arXiv:1901.07729},
year = {2019}
}
备注
9 pages, 9 figures, The following article has been accepted by Chaos: An Interdisciplinary Journal of Nonlinear Science. After it is published, it will be found at https://aip.scitation.org/journal/cha