Abstract: In this paper, we propose a novel correlative learning rule for multi-value patterns, considering that conventional associative memory system processes only binary ones. Successful memory and recognition are achieved on the bases of S -GCM model with the proposed method, and analyses on the recognition results and factors are given.

Key words: chaotic neural networks, associative memory, globally coupling map, pattern