Abstract :
Summary form only given, as follows. A revised Hamming net is proposed, validated, and tested. Both the original Hamming net and the revised model were implemented. Experimental results show the equivalence of both models in the noiseless cases, but in classification problems with noise, dramatic improvements occurred. A proof of the convergence theorem for the revised model is given.<>