Title :
Adapted gradient algorithm for algebraic fuzzy neural networks
Author :
Teodorescu, H.N. ; Arotaritei, D. ; Gonzalez, E.L. ; Mendana, A.
Author_Institution :
Tech. Univ. Iasi, Romania
Abstract :
A learning algorithm based on a gradient technique is introduced for the algebraic fuzzy neural network with fuzzy weights. The fuzzy weights can be triangular fuzzy numbers (usually nonsymmetric), or trapezoidal fuzzy numbers. The network is able to map a vector of triangular (trapezoidal) fuzzy numbers into any other vector of triangular (trapezoidal) fuzzy numbers
Keywords :
fuzzy neural nets; learning (artificial intelligence); vectors; adapted gradient algorithm; algebraic fuzzy neural networks; fuzzy weights; learning algorithm; nonsymmetric triangular fuzzy numbers; trapezoidal fuzzy numbers; vector; Arithmetic; Costs; Electronic mail; Fuzzy neural networks; Fuzzy sets; Level set; Multi-layer neural network; Neural networks; Neurons; Shape;
Conference_Titel :
Neuro-Fuzzy Systems, 1996. AT'96., International Symposium on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3367-5
DOI :
10.1109/ISNFS.1996.603837
