DocumentCode
396708
Title
Convergence analysis of chaotic dynamic neuron
Author
Kim, Sang-Hee ; Park, Won-Woo
Author_Institution
Sch. of Electron. Eng., Kumoh Nat. Inst. of Tech., South Korea
Volume
2
fYear
2003
fDate
20-24 July 2003
Firstpage
858
Abstract
This paper investigated the dynamic characteristics of a chaotic dynamic neuron. The transient chaos of neuron could be beneficial to overcome the local minimum problem, but the chaotic response gives adverse effect on optimization problems in general. In this paper, we analyze the condition that produce the chaotic response, and present the convergence condition.
Keywords
convergence of numerical methods; dynamic response; neural nets; optimisation; chaotic dynamic neuron; chaotic neural network; chaotic response; convergence analysis; optimization problems; transient chaos; traveling salesman problem; Biological system modeling; Chaos; Convergence; Differential equations; Network address translation; Neural networks; Neurofeedback; Neurons; Transient analysis; Traveling salesman problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223802
Filename
1223802
Link To Document