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.
关键词： 延迟细胞神经网络 分叉 混沌行为 2014 Spring World Congress on Engineering and Technology (SCET 2014)
主讲人：A.P. Pritha Das 机构：BES University
时长：0:20:18 年代：2014年
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