DocumentCode
1749249
Title
FDIMLP: A new neuro-fuzzy model
Author
Bologna, Guido
Author_Institution
Comput. Sci. Centre, Geneva Univ., Switzerland
Volume
2
fYear
2001
fDate
2001
Firstpage
1328
Abstract
We present a neuro-fuzzy model called fuzzy discretized interpretable multi-layer perceptron (FDIMLP). Fuzzy rules are extracted in polynomial time with respect to the size of the problem and the size of the network. We applied our model to three classification problems of the public domain. It turned out that FDIMLP networks compared favorably with respect to EFuNN and ANFIS neuro-fuzzy systems
Keywords
fuzzy logic; fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); multilayer perceptrons; ANFIS; EFuN; FDIMLP; classification problems; fuzzy discretized interpretable multi-layer perceptron; fuzzy rules; neuro-fuzzy model; polynomial time; Artificial intelligence; Computer science; Fuzzy logic; Fuzzy neural networks; Humans; Intelligent systems; Multilayer perceptrons; Neurons; Polynomials; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939554
Filename
939554
Link To Document