THE QUANTITATIVE ANALYSIS OF THE ATTRACTIVE REGION OF THE PLN NETWORK
PLN网络吸引区域的定量分析

This paper shows that when a generalized A-learning rule of a PLN net is given properly, the net can satisfy the following conditions. (1) All training samples are itsstable states. (2) Each stable state has a maximal attractive region. (3) The net has veryfast convergence speed. Therefore, as an associative memory the PLN network is an idealone.