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.
嘉 賓 ：
A.P. Pritha Das
關鍵字 ：
延遲細胞神經網絡 分叉 混沌行爲視頻年代：2014
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