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Biological Cybernetics
Associative dynamics in a chaotic neural network
Neural Networks
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
2008 Special Issue: Threshold control of chaotic neural network
Neural Networks
Robust control of a class of neural networks with bounded uncertainties and time-varying delays
Computers & Mathematics with Applications
Associative memory with a controlled chaotic neural network
Neurocomputing
Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Chaos synchronization for bi-directional coupled two-neuron systems with discrete delays
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Mathematical and Computer Modelling: An International Journal
A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search
Neural Processing Letters
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The chaotic neural network constructed with chaotic neuron shows the associative memory function, but its memory searching process cannot be stabilized in a stored state because of the chaotic motion of the network. In this paper, a pinning control method focused on the chaotic neural network is proposed. The computer simulation proves that the chaos in the chaotic neural network can be controlled with this method and the states of the network can converge in one of its stored patterns if the control strength and the pinning density are chosen suitable. It is found that in general the threshold of the control strength of a controlled network is smaller at higher pinned density and the chaos of the chaotic neural network can be controlled more easily if the pinning control is added to the variant neurons between the initial pattern and the target pattern.