Title :
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
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;
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
DOI :
10.1109/SMCIA.1999.782707
