METHOD OF ADJUSTING AUTOMATICALLY RULE BASE OF EXPERT SYSTEM USING NEURAL NETWORK AND DEVICE THEREOF

摘要

The rule base of an expert system which comprises a set of production rules including condition parts, action parts and certainties is resolved hierarchically into units of propositions each of which includes no or one logical operator. Then, every proposition, a characteristic list including the relations with propositions of upper hierarchies and certainty is generated automatically. Further, an initial pattern of a neural network in which the connective relations between propositions correspond to the ones between neurons is created automatically according to the generated characteristic list. Thereafter, learning of the created neural network is performed. Thereby, even one who has no expert knowledge can perform effectively the maintenance of the rule base of the expert system.