DocumentCode
1591176
Title
Associative Memory and Successive Learning in Chaotic Neural Network
Author
Duan, Shukai ; Wang, Lidan
Author_Institution
Southwest Univ., Chongqing
Volume
3
fYear
2007
Firstpage
118
Lastpage
122
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.270
Filename
4344489
Link To Document