A study on the convergence condition of chaaotic dynamic neural networks
- Authors
- 김상희; Hua 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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Collections - Department of Medical IT Convergence Engineering > 1. Journal Articles
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