The associative memory with optimal error-correcting performance

In this paper the character of the associative memory is discussed emphatically from the viewpoint of the storage capacity and the associative ability of the network. The associative memory function can all be realized by utilizing the feedback network on competition. The competing classifying (CC) algorithm is presented here. Compared with any other associative memories that already exist, the neural network determined by the algorithm has very good performances such as high error-correcting capability, large storage capacity, no “rejected-point” and no spurious attractive center. The obtained network exceeds the storage capacity of HAM and BP networks