Analysis on equilibrium points of cellular neural networks with thresholding activation function

摘要：

　　In previous paper, the number of equilibrium points of a cellular neural network (CNN) was studied.However, the region of different values of equilibrium points of every cell in the CNN is not investigated.Therefore, in this paper, the regions of the number of different values of equilibrium points in cellular neural networks (CNNs) with thresholding activation function are obtained by the relationship between parameters of CNNs.The influence of the values of connection weights of CNNs on the number of equilibrium points for a cell is found.Some sufficient conditions are obtained by using the relationship among connection weights.Depending on these sufficient conditions, inputs and outputs of a CNN, the regions of the values of parameters can be obtained.Finally, some numerical simulations are presented to support the effectiveness of the theoretical analysis.

关键词： Cellular neural network Equilibrium point Thresholding activation function

作者: Qi Han Xiaofeng Liao Tengfei Weng Jun Peng Chuandong Li Liping Feng

会议类型: 国内会议

会议名称: 西南大学2014年全国博士生学术论坛(电子技术与信息科学领域)

会议地点: 重庆

会议语种:英文

页码: 284-290

在线出版日期: 2014-12-01（万方平台首次上网日期，不代表论文的发表时间）