DocumentCode
3314507
Title
A paradigm of intelligent fuzzy networks
Author
Kawamura, Hiroshi ; Tani, Akinori
Author_Institution
Dept. of Archit. & Civil Eng., Kobe Univ., Japan
fYear
1992
fDate
17-19 Sep 1992
Firstpage
159
Lastpage
164
Abstract
For engineering planning and design, a paradigm of intelligent fuzzy networks is proposed which consists of fuzzy systems composed of inputs, states, and outputs. Each of the fuzzy systems can be replaced by a neural network, fuzzy confluence rule, fuzzy identifier, and so on, which can learn given knowledge or experience by determining their weighting factors and/or coefficients. After learning, intelligent fuzzy networks have intelligent functions such as evaluation, optimization, and decision-making
Keywords
design engineering; fuzzy logic; learning (artificial intelligence); neural nets; planning (artificial intelligence); decision-making; engineering design; engineering planning; evaluation; fuzzy confluence rule; fuzzy identifier; intelligent fuzzy networks; neural network; optimization; weighting factors; Biological neural networks; Constraint optimization; Design engineering; Design optimization; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Intelligent networks; Neural networks; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1992., IEEE International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-0734-8
Type
conf
DOI
10.1109/ICSYSE.1992.236918
Filename
236918
Link To Document