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