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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005551
