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A study on the convergence condition of chaaotic dynamic neural networks

Authors
김상희Hua O. Wang
Issue Date
2007
Publisher
한국지능시스템학회
Keywords
Chaotic dynamic neural networks. Convergence condition; Dynamic characteristics
Citation
International Journal of Fuzzy Logic and Intelligent systems, v.7, no.4, pp 242 - 248
Pages
7
Journal Title
International Journal of Fuzzy Logic and Intelligent systems
Volume
7
Number
4
Start Page
242
End Page
248
URI
https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/22883
ISSN
1598-2645
Abstract
This paper analyzes on the chaos characteristics of the chaotic neural networks and presents the convergence condition. Although the transient chaos of neural network sould be beneficial to overcome the local minimum problem and speed up the learning, the permanent chaotic response gives adverse effect on optimization problems and makes neural network unstable in general. This paper investigates the dynamic characteristics of the chaotic neural networks with the chaotic dynamic neuron, and presents the convergence condition for stabilizing the chaotic neural networks.
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