Title :
Fuzzy and neural hybrid expert systems: synergetic AI
Author :
Funabashi, Motohisa ; Maeda, Akira ; Morooka, Yasuo ; Mori, Kiyomi
Author_Institution :
Syst. Dev. Lab., Hitachi Ltd., Tokyo, Japan
fDate :
8/1/1995 12:00:00 AM
Abstract :
The next generation of fuzzy expert systems will combine techniques such as logic programming, fuzzy theory, and neural networks to improve performance and productivity. This article examines the practical use of two such hybrid architectures; combination and fusion
Keywords :
expert systems; fuzzy neural nets; inference mechanisms; uncertainty handling; fuzzy expert systems; fuzzy theory; logic programming; neural hybrid expert systems; neural networks; synergetic artificial intelligence; synergetic expert systems; Artificial intelligence; Expert systems; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Hybrid intelligent systems; Logic programming; Neural networks; Next generation networking; Productivity;
Journal_Title :
IEEE Expert
