基于外积取等准则的联想记忆神经网络同步运行收敛性分析

Convergence Analysis of Associative Memory Neural Netowrks Based on Outer Product Equation Learning Rule Under Synchronous Operation Mode

通过引入样本模式向量割、割等价及割互补的概念，研究了基于外积取等准则的联想记忆神经网络在同步运行方式下的收敛性，得出对任意输入网络至多两步收敛．

By introducing concepts of cut,cut equivalence and cut complement, the convergence of associative memory neural networks based on outer product equstion learning rule under synchronous operation mode is studied. It is proved that the number of iterations required to achieve convergence is at most two.