DocumentCode
3111815
Title
Analytic fuzzy RBF neural network
Author
Kandel, Abraham ; Teodorescu, Horia-Nicolai ; Arotaritei, Dragos
Author_Institution
Univ. of South Florida, Tampa, FL, USA
fYear
1998
fDate
20-21 Aug 1998
Firstpage
281
Lastpage
285
Abstract
An analytic fuzzy neural network with a modified RBF architecture and fuzzy weights is introduced. The fuzzy weights are non-symmetric fuzzy numbers. The learning algorithm is based on a gradient technique
Keywords
feedforward neural nets; fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); analytic fuzzy RBF neural network; analytic fuzzy neural network; fuzzy weights; gradient technique; learning algorithm; modified RBF architecture; non-symmetric fuzzy numbers; radial basis function; Arithmetic; Computer architecture; Computer science; Fuzzy neural networks; Gaussian processes; Information analysis; Information science; Network topology; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location
Pensacola Beach, FL
Print_ISBN
0-7803-4453-7
Type
conf
DOI
10.1109/NAFIPS.1998.715587
Filename
715587
Link To Document