Associative Memory and Successive Learning in Chaotic Neural Network
Shukai Duan, Lidan Wang · 2007
In this paper, a new chaotic neural network (CNN) with partial spatio-temporal summation and a new output function is proposed. Associative memory and successive learning in the CNN is also considered. A series of computer simulations show the effectiveness of the proposed model.