Title :
Associative Memory and Successive Learning in Chaotic Neural Network
Author :
Duan, Shukai ; Wang, Lidan
Author_Institution :
Southwest Univ., Chongqing
Abstract :
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.
Keywords :
neural nets; spatiotemporal phenomena; associative memory; chaotic neural network successive learning; computer simulations; partial spatio temporal summation; Artificial neural networks; Associative memory; Biological neural networks; Cellular neural networks; Chaos; Computer simulation; Damping; Educational institutions; Neural networks; Neurons;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.270
