Generating chaos by an Elman network
Xiang Li, Zengqiang Chen, Zhuzhi Yuan, Guanrong Chen · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2001
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.