The combination and prospects of neural networks, fuzzy logic and genetic algorithms

Author

He, Lin ; Wang, Ke-jun ; Jin, Hong-Hang ; Li, Guo-bin ; Gao, X.Z.

Author_Institution

Autom. Coll., Harbin Eng. Univ., China

fYear

1999

fDate

1999

Firstpage

52

Lastpage

57

Abstract

Today, there´s a synergy beginning to form among neural nets (NNs), fuzzy logic (FL) and genetic algorithms (GAs). This paper reviews developments in this respect. Many designs of knowledge-based and associated learning systems using the combination of NNs and FL abilities have been presented. Some methods for the integration of GAs with fuzzy systems are described. Afterwards, work on hybrid systems of GAs and NNs is discussed. Finally, some advantages obtained through the fusion of the FL, NNs and GAs are emphasized, and possible ways of combining the three are developed

Keywords

fuzzy logic; fuzzy neural nets; genetic algorithms; knowledge based systems; learning (artificial intelligence); learning systems; neural nets; associated learning systems; fuzzy logic; genetic algorithms; hybrid systems; integration; knowledge-based systems; neural networks; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Helium; Humans; Learning systems; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing Methods in Industrial Applications, 1999. SMCia/99. Proceedings of the 1999 IEEE Midnight-Sun Workshop on

Conference_Location

Kuusamo

Print_ISBN

0-7803-5280-7

Type

conf

DOI

10.1109/SMCIA.1999.782707

Filename

782707