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Neural fuzzy logic programming
Department of Computer Science, Åbo Akademi, Åbo, Finland.
1992 (English)In: IEEE Transactions on Neural Networks, ISSN 1045-9227, E-ISSN 1941-0093, Vol. 3, no 5, p. 815-818Article in journal (Refereed) Published
Abstract [en]

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 has a great influence on the performance of the knowledge base. We show how fuzzy logic programs can be transformed to neural nets, where adaptations of uncertainties in the knowledge base increase the reliability of the program and are carried out automatically.

Place, publisher, year, edition, pages
1992. Vol. 3, no 5, p. 815-818
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Computer Sciences
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URN: urn:nbn:se:umu:diva-80551DOI: 10.1109/72.159071OAI: oai:DiVA.org:umu-80551DiVA, id: diva2:650371
Available from: 2013-09-20 Created: 2013-09-20 Last updated: 2018-06-08Bibliographically approved

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Eklund, Patrik

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