Title :
Building expert systems by a modified perceptron network with rule-transfer algorithms
Author :
Yang, Qing ; Bhargava, Vijay K.
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
Keywords :
expert systems; fuzzy set theory; inference mechanisms; neural nets; probability; conditional independence assumption; exclusive-OR limitation; expert systems; fuzzy set theory; knowledge base maintenance; knowledge based systems building; probability theory; rule-transfer algorithms; sequential perceptron-like inference network;
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IJCNN.1990.137698
