A Time-Delay Chaotic Neural Network For Information Processing
WANG Tao1,2, WANG Ke-jun1, JIA Nuo2
1.College of Automation, Harbin Engineering University, Harbin Heilongjiang 150001, China
2.College of Mathematics Science, Harbin Normal University, Harbin Heilongjiang 150025, China
Abstract：In order to improve the information processing capacity of chaotic neural networks, associative memory performance of a time-delay symmetric global coupled neural network was investigated by using a parameter modulated control method to control the coherent parameter. It can be observed that its output can be stabilized when only partial neurons enter the periodic orbits and the output sequence of the controlled network does not contain other patterns but the stored pattern corresponding to the initial input and its reverse pattern. The experimental results suggest that the network has good tolerance and excellent correct rate so that it is fit for information processing and pattern recognition.
王涛 王科俊 贾诺. 用于信息处理的延时混沌神经网络[J]. 计算机应用, 2011, 31(05): 1311-1313.
WANG Tao WANG Ke-jun JIA Nuo. A Time-Delay Chaotic Neural Network For Information Processing. Journal of Computer Applications, 2011, 31(05): 1311-1313.
2011, Vol. 31 
