DocumentCode
824474
Title
Neural fuzzy logic programming
Author
Eklund, Patrik ; Klawonn, Frank
Author_Institution
Dept. of Comput. Sci., Abo Akad. Univ., Finland
Volume
3
Issue
5
fYear
1992
fDate
9/1/1992 12:00:00 AM
Firstpage
815
Lastpage
818
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;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.159071
Filename
159071
Link To Document