Bifurcation and chaos in delayed cellular neural network model
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Bifurcation and chaos in delayed cellular neural network model
2014 Spring World Congress on Engineering and Technology (SCET 2014)——This paper deals with control of chaotic behavior of a delayed Cellular Neural Network (DCNN) model which is a one-dimensional regular array of four cells with continuous activation function. We investigate different dynamical behaviors including limit cycle, torus, and chaos for different range of weight parameters of the system.
Guests ：
A.P. Pritha Das
Keyword ：
延迟细胞神经网络 分叉 混沌行为Year：2014
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