Title :
Neural fuzzy logic programming
Author :
Eklund, Patrik ; Klawonn, Frank
Author_Institution :
Dept. of Comput. Sci., Abo Akad. Univ., Finland
fDate :
9/1/1992 12:00:00 AM
Abstract :
A foundational development of propositional fuzzy logic programs is presented. Fuzzy logic programs are structured knowledge bases including uncertainties in rules and facts. The precise specifications of uncertainties have a great influence on the performance of the knowledge base. It is shown how fuzzy logic programs can be transformed to neural networks, where adaptations of uncertainties in the knowledge base increase the reliability of the program and are carried out automatically
Keywords :
fuzzy logic; logic programming; neural nets; neural fuzzy logic programming; neural networks; propositional fuzzy logic programs; structured knowledge bases; uncertainties; Computer science; Cost accounting; Fuzzy logic; Fuzzy sets; Logic programming; Neural networks; Open wireless architecture; Transfer functions; Uncertainty;
Journal_Title :
Neural Networks, IEEE Transactions on
