Abstract: A kind of neural networks learning algorithms for multiple-pattern pairs weighted matrix of fuzzy associative memories(FAMs) and its strict theoretic proofs are presented in this paper. Multiple fuzzy pattern pairs can be encoded to store in FAM connection weight matrixes as few as possible by the algorithm, so it can cut down storage space greatly and this algorithm can easily be implimented. Its effectiveness is testified by an example.