Building expert systems by a modified perceptron network with rule-transfer algorithms

TitleBuilding expert systems by a modified perceptron network with rule-transfer algorithms
Publication TypeConference Paper
Year of Publication1990
AuthorsYang, Q., and V. K. Bhargava
Conference NameNeural Networks, 1990., 1990 IJCNN International Joint Conference on
Pagination77 -82 vol.2
Date Publishedjun.
Keywordsconditional independence assumption, exclusive-OR limitation, expert systems, fuzzy set theory, inference mechanisms, knowledge base maintenance, knowledge based systems building, neural nets, probability, probability theory, rule-transfer algorithms, sequential perceptron-like inference network
Abstract

A sequential perceptron-like inference network with novel rule-transfer algorithms is proposed. This network provides an efficient method for building knowledge-based or expert systems. The model is derived from probability and fuzzy set theory. The model has been utilized to organize and maintain the knowledge based. Some critical problems such as the exclusive-OR limitation and the conditional independence assumption have been carefully considered in the modifications

URLhttp://dx.doi.org/10.1109/IJCNN.1990.137698
DOI10.1109/IJCNN.1990.137698

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