DocumentCode
2594908
Title
Generating classification rules with the neuro-fuzzy system NEFCLASS
Author
Nauck, Detlef ; Nauck, Ulrike ; Kruse, Rudolf
Author_Institution
Dept. of Comput. Sci., Tech. Univ. Braunschweig, Germany
fYear
1996
fDate
19-22 Jun 1996
Firstpage
466
Lastpage
470
Abstract
Neuro-fuzzy systems have recently gained a lot of interest in research and application. In this paper, we discuss NEFCLASS (NEuro-Fuzzy CLASSification), a neuro-fuzzy approach for data analysis. We present new learning strategies to derive fuzzy classification rules from data, and show some results
Keywords
data analysis; feedforward neural nets; fuzzy neural nets; learning (artificial intelligence); pattern classification; NEFCLASS; classification rules generation; data analysis; fuzzy classification rule derivation; learning strategies; neuro-fuzzy system; Computer science; Data analysis; Data preprocessing; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Mathematics; Shape; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
Conference_Location
Berkeley, CA
Print_ISBN
0-7803-3225-3
Type
conf
DOI
10.1109/NAFIPS.1996.534779
Filename
534779
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