Generation of fuzzy neural network structure

被引：0

作者：

Swiatnicki, Z ^{[1
]}

Olej, V ^{[1
]}

机构：

[1] Mil Univ Technol, Logist Inst, Dept Logist Management, PL-00908 Warsaw, Poland

来源：

NEURAL NETWORKS AND SOFT COMPUTING | 2003年

关键词：

optimization; fuzzy neural networks; genetic algorithms;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A genetic method to generate a fuzzy neural network, which has both structure and synapse weights adequate for a given task is proposed.

引用

页码：578 / 583

页数：6

共 10 条

[1] Adeli H., 1995, MACHINE LEARNING NEU
[2] [Anonymous], 1975, Ann Arbor
[3] HYBRID NEURAL NETS CAN BE FUZZY CONTROLLERS AND FUZZY EXPERT-SYSTEMS
BUCKLEY, JJ
HAYASHI, Y
[J]. FUZZY SETS AND SYSTEMS, 1993, 60 (02) : 135 - 142
[4] GODJEVAC J, 1994, P 2 EUR C FUZZ INT T, P1326
[5] Goldberg D. E., 1989, GENETIC ALGORITHMS S
[6] HOFFMEISTER F, 1990, P 1 WORKSH PAR PROBL, P455
[7] Lehotsky M., 1995, NEURAL NETW WORLD, V5, P91
[8] NAGAO T, 1993, P INT JOINT C NEUR N
[9] OLEJ V, 1997, ART INT INF CONTR SY, P277
[10] SPIESSENS P, 1988, 8819 AI MEMO VRIJ U