DocumentCode
1527276
Title
Generating chaos by an Elman network
Author
Li, Xiang ; Chen, Zengqiang ; Yuan, Zhuzhi ; Chen, Guanrong
Author_Institution
Dept. of Autom., Nankai Univ., Tianjin, China
Volume
48
Issue
9
fYear
2001
fDate
9/1/2001 12:00:00 AM
Firstpage
1126
Lastpage
1131
Abstract
A new nonlinear neuron-activation function is introduced into the framework of an Elman network, thereby enabling the neural network to generate chaos. Basic analysis of its fixed point stability and parameter selection criterion for chaos generation is given, and is verified via simulation studies
Keywords
chaos generators; neural nets; Elman network; chaos generation; fixed point stability; nonlinear neuron activation function; numerical simulation; parameter selection; Biological neural networks; Biological system modeling; Chaos; Humans; Joining processes; Neurons; Oscillators; Recurrent neural networks; Stability analysis; Stability criteria;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.948441
Filename
948441
Link To Document