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Simulation and evaluation of dual fully fuzzy linear systems by fuzzy neural network
- Source :
-
Applied Mathematical Modelling . Oct2011, Vol. 35 Issue 10, p5026-5039. 14p. - Publication Year :
- 2011
-
Abstract
- Abstract: In this paper, a novel hybrid method based on fuzzy neural network for approximate solution of fuzzy linear systems of the form Ax = Bx + d, where A and B are two square matrices of fuzzy coefficients, x and d are two fuzzy number vectors, is presented. Here a neural network is considered as a part of a large field called neural computing or soft computing. Moreover, in order to find the approximate solution, a simple and fast algorithm from the cost function of the fuzzy neural network is proposed. Finally, we illustrate our approach by some numerical examples. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 0307904X
- Volume :
- 35
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Applied Mathematical Modelling
- Publication Type :
- Academic Journal
- Accession number :
- 61177850
- Full Text :
- https://doi.org/10.1016/j.apm.2011.04.008