Title :
Analytic fuzzy RBF neural network
Author :
Kandel, Abraham ; Teodorescu, Horia-Nicolai ; Arotaritei, Dragos
Author_Institution :
Univ. of South Florida, Tampa, FL, USA
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;
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
DOI :
10.1109/NAFIPS.1998.715587
