Signal combination and classification scheme for neural networks

The signal combinations are made as the stable attractors of the Hopfield (1982) model neural networks by using the methods of combinatorial optimization, then the classification scheme of binary numbers in the corresponding neural networks with a single-variance of the synaptic matrix elements is summarized and synthesized by the method which we borrowed from the Fu-Xi's position on eight trigrams in I-ching (theory of changes).