Basic Analysis of Cellular Dynamic Binary Neural Networks

被引：2

作者：

Makita, Kazuma ^{[1
]}

Ozawa, Takahiro ^{[1
]}

Saito, Toshimichi ^{[1
]}

机构：

[1] Hosei Univ, Koganei, Tokyo 1848584, Japan

来源：

NEURAL INFORMATION PROCESSING (ICONIP 2017), PT III | 2017年 / 10636卷

关键词：

Dynamic binary neural networks; Cellular automata; Binary periodic orbits; Stability;

D O I：

10.1007/978-3-319-70090-8_79

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 studies cellular dynamic binary neural networks that can generate various periodic orbits. The networks is characterized by signum activation function and local connection parameters. In order to visualize/analyze the dynamics, we present a feature plane of present two simple feature quantities. We also we present normal form equations that can describe all dynamics of the networks. Using the normal form equation and feature plane, various phenomena are investigated.

引用

页码：779 / 786

页数：8

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