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

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.