混沌神经网络在分离叠加模式和多对多联想记忆中的应用  

A Chaotic Neural Network and its Applications in Separation of Superimposed Pattern and Many-to-Many Associative Memory

作　　者：刘光远[1] 段书凯[1] 

机构地区：[1]西南师范大学电子与信息工程系,重庆400715

出　　处：《计算机科学》2003年第3期83-85,共3页Computer Science

基　　金：重庆市科委应用基础项目(项目号:99-5909)

摘　　要：In this paper, we propose a modified chaotic associative memory neural network(MCAM). It has two im-portant features :it can recall stored patterns from superimposed input; (2)it can deal with many-to-many associativememory. The computer simulations show the effectiveness of the proposed model.In this paper, we propose a modified chaotic associative memory neural network(MCAM). It has two important features: it can recall stored patterns from superimposed input; (2)it can deal with many-to-many associative memory. The computer simulations show the effectiveness of the proposed model.

关 键 词：混沌神经网络 分离叠加模式 多对多联想记忆 信息处理 人工神经网络 数学模型 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]