NEURAL FUZZY-LOGIC PROGRAMMING

被引：26

作者：

EKLUND, P ^{[1
]}

KLAWONN, F ^{[1
]}

机构：

[1] TECH UNIV BRAUNSCHWEIG,DEPT COMP SCI,W-3300 BRAUNSCHWEIG,GERMANY

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 1992年 / 3卷 / 05期

关键词：

D O I：

10.1109/72.159071

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：815 / 818

页数：4

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