The Optimization of Fuzzy Associative Memory Neural Network Learning Rule for Multiple Pattern Pairs
多模式对模糊联想记忆学习算法的优化

this paper proposed a differential rule of fuzzy Max-Min composition operation. With a cost function reflecting the features of neural network ,combining the gradient descent search technique with fuzzy Hebb rule,an optimization algorithm for associated to store multiple pattern pairs in a single FAM has been established.