混沌神经网络的延时反馈控制研究  

Study on the delayed feedback control of chaos in chaotic neural networks

作　　者：何国光[1] 朱萍[1] 陈宏平[1] 曹志彤[1] 

机构地区：[1]浙江大学物理学系,杭州310027

出　　处：《物理学报》2006年第3期1040-1048,共9页Acta Physica Sinica

基　　金：教育部回国人员启动基金(批准号:J2005319);浙江省教育厅(批准号:20040159)资助的课题.~~

摘　　要：针对混沌神经网络,提出了一种改进的延时反馈控制方法.利用该方法,当延时参数τ为奇数时,被控神经网络收敛于记忆模式以及它的反相模式的2周期上.若选取不同的延时参数,被控网络则收敛于不同的周期态上.Chaotic neural networks consisting of chaotic neurons exhibit rich dynamic behaviors and are expected to be used in information processing. But the output sequence of chaotic neural networks is chaotic, so the networks do not converge to a stable pattern. In order to apply chaotic neural networks to information search or pattern recognition, etc., it is necessary to control chaos in chaotic neural networks. In this paper, we propose an improved delayed feedback control method for chaotic neural networks. By means of the control method, computer simulation shows that controlled chaotic neural networks can converge to period-2 states between one stored pattern and its reverse pattern or various multiple-period states depending on the delay time.

关 键 词：控制混沌 延时反馈控制 混沌神经网络 

分 类 号：O415.5[理学—理论物理]