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
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;
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
DOI :
10.1109/NAFIPS.1996.534779
