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
fDate :
9/1/2001 12:00:00 AM
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;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
