Binding hierarchies: a basis for dynamic perceptual grouping
Neural Computation
A network of chaotic elements for information processing
Neural Networks
Associative dynamics in a chaotic neural network
Neural Networks
Self-organised dynamic recognition states for chaotic neural networks
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
2008 Special Issue: Threshold control of chaotic neural network
Neural Networks
Associative memory with a controlled chaotic neural network
Neurocomputing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Neural Networks
Hi-index | 0.01 |
A chaotic neural network called time-delay globally coupled neural network using symmetric map (TDSG) is proposed for information processing applications. Firstly, its rich dynamic behaviors are exhibited and the output stability is demonstrated by using a parameter modulated control method. Secondly, the associative memory of TDSG is investigated by the control method. It is observed that the stable output sequence only contains stored pattern and its reverse pattern and the TDSG finally converges to the stored pattern which has the smallest Hamming distance to the initial patterns with noise. At last, strong information recovery ability of the TDSG is illustrated by comparative experiments.