Title :
A paradigm of intelligent fuzzy networks
Author :
Kawamura, Hiroshi ; Tani, Akinori
Author_Institution :
Dept. of Archit. & Civil Eng., Kobe Univ., Japan
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;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236918
