Neural network is chaotic recurrent and learning algorithm for that - ci.

摘要

A chaotic recurrent neural network includes N chaotic neural networks for receiving an external input and the outputs of N-1 chaotic neural networks among said N chaotic neural networks and performing an operation according to the following dynamic equation IMAGE wherein Wij is a synapse connection coefficient of the feedback input from the "j"th neuron to the "i"th neuron, Xi(t) is the output of the "i"th neuron at time t, and gamma i, alpha and and k are a time-delaying constant, a non-negative parameter and a refractory time attenuation constant, respectively, and wherein Zi(t) represents Xi(t) when i belongs to the neuron group I and represents ai(t) when i belongs to the external input group E. Also, a learning algorithm for the chaotic recurrent neural network increases its learning efficiency.