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• W2028333463 abstract "A model of single neuron with chaotic and hysteretic characteristics is proposed. Neural network coupled by such neurons exhibits complex dynamic behaviors. The network is also studied from the viewpoint of optimization. Chaos and hysteresis phenomena make the network have the characteristic of escaping from a local minimum of the energy function, so it can find a global minimum more easily as compared with others. The experimental results show that it has a higher average success rate of obtaining a global optimization solution." @default.
• W2028333463 created "2016-06-24" @default.
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• W2028333463 date "2007-08-01" @default.
• W2028333463 modified "2023-09-28" @default.
• W2028333463 title "A novel hysteretic chaotic neural network and its applications" @default.
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• W2028333463 doi "https://doi.org/10.1016/j.neucom.2007.02.002" @default.
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