Hopfield neural network: The hyperbolic tangent and the piecewise-linear activation functions

被引：68

作者：

Mathias, Amanda C. ^{[1
]}

Rech, Paulo C. ^{[1
]}

机构：

[1] Univ Estado Santa Catarina, Dept Fis, BR-89219710 Joinville, Brazil

来源：

NEURAL NETWORKS | 2012年 / 34卷

关键词：

Hopfield neural network; Parameter-space; Lyapunov exponents; PARAMETER-SPACE; CIRCUIT;

D O I：

10.1016/j.neunet.2012.06.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper reports two-dimensional parameter-space plots for both, the hyperbolic tangent and the piecewise-linear neuron activation functions of a three-dimensional Hopfield neural network. The plots obtained using both neuron activation functions are compared, and we show that similar features are present on them. The occurrence of self-organized periodic structures embedded in chaotic regions is verified for the two cases. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：42 / 45

页数：4

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