Method, apparatus and storage medium configured to analyze predictive accuracy of a trained neural network

摘要

A neural network analysis apparatus has an input means 1 for inputting multilinear functions that represent the various units of a trained neural network, a storage means 2 therefor, term generators 3 that successively generate terms of a Boolean function used for approximation from the coefficients of each term of the multilinear function input for each unit, a judgment condition storage section 22 into which is stored the conditions for generating each term of the Boolean function to be used in the approximation, an apparatus 5 that links the generated Boolean function terms, and a Boolean function synthesizing apparatus 6 for representing the output unit by input variables. The term generators 3 each have four sub-apparatuses: a data-limiting apparatus 31, a minimum value calculation apparatus 32, a non-important, attribute processing apparatus 33, and a function judgment apparatus 34.