DocumentCode
1647347
Title
Stability analyzing of chaotic neural network for associative memory
Author
Zhang, Yifeng ; He, Zhenya ; Wei, Chengjian
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
659
Lastpage
664
Abstract
Based on current research on chaotic neuron network, a new auto-associative matrix is devised for chaotic neuron networks. Thus, an improved chaotic neuron network for associative memory is built up. Moreover, the stability and convergence of the improved chaotic neuron network are proved from the viewpoint of energy function
Keywords
circuit stability; content-addressable storage; convergence; covariance matrices; learning (artificial intelligence); neural nets; associative memory; auto-associative matrix; chaotic neuron network; convergence; covariance matrix; discrete neural networks; energy function; stability; synchronization; Artificial neural networks; Associative memory; Chaos; Helium; Information processing; Neural networks; Neurons; Stability analysis; Stochastic processes; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005551
Filename
1005551
Link To Document