Method of architecting multiple neural network and system therefor

Abstract

To facilitate architecting of a multiple neural network, irrespective of the quantity of cases and the complexity of case dependence relationship, sets of input instances and the desirable outputs corresponding thereto are stored; the stored sets are read in sequence to discriminate whether all variables included in the input instances of the read set are included in the outputs of any given stored set, to mark variables not included in the outputs of any sets; the sets whose input instances include only the marked variables are selected from among the read sets; unit neural networks for learning the selected sets are formed and simultaneously variables included in the outputs of the formed unit neural networks are marked; a unit neural network for learning any given set is formed; and the formed unit neural networks are connected to each other to architect a multiple neural network.