DocumentCode :
2419825
Title :
A New Method for Designing and Reduction of Neuro-Fuzzy Systems
Author :
Cpalka, Krzysztof ; Rutkowski, Leszek
Author_Institution :
Czestochowa Univ. of Technol., Czestochowa
fYear :
0
fDate :
0-0 0
Firstpage :
1851
Lastpage :
1857
Abstract :
In the paper we develop a new method for designing and reduction of neuro-fuzzy systems. The method is based on the concept of the weighted triangular norms. In subsequent stages we reduce number of inputs, number of rules and number of antecedents. The method is tested using well known benchmarks.
Keywords :
fuzzy neural nets; fuzzy set theory; benchmark; fuzzy set theory; neuro-fuzzy system; weighted triangular norm; Artificial intelligence; Benchmark testing; Design methodology; Fuzzy neural networks; Fuzzy sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
Type :
conf
DOI :
10.1109/FUZZY.2006.1681957
Filename :
1681957
Link To Document :
بازگشت