Knowledge acquisition device and its knowledge adjustment device null of knowledge base

摘要

PURPOSE:To easily correct knowledges by automatically acquiring knowledges of a knowledge base. CONSTITUTION:A cluster analysis part 10 classifies plural data into prescribed clusters, and a recursive learning part 11 acquires the knowledge of the condition part of a rule at every cluster, and a data analysis part 12 obtains a prescribed calculation formula by multiple regression analysis to acquire the knowledge of the execution part of the rule, and a knowledge generating part 13 compiles knowledges as a rule at every cluster and stores them as a knowledge in a knowledge base 3. Meanwhile, new data are collated with already existing rules of the knowledge base 3. If they are not satisfied, they are collated with subknowledges which are not recognized as knowledges and are stored; and if they are satisfied, these subknowledges are added to the condition part of the rule. If they satisfy an already existing rule and subknowledges, the execution part of the pertinent rule is calculated to discriminate whether the output value satisfies an allowable range or not; and if it satisfies the allowable range, only the calculation formula of the execution part of this rule is corrected. If it does not satisfy subknowledges or the allowable range, all data including new data are subjected to cluster analysis again to acquire a knowledge again.