Title : ( A recurrent neural network model to solve nonlinear programming problems with fuzzy parameters )
Authors: Freydoon Rahbarnia ,
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Abstract
In the presence research, we are going to obtain the solution of the fuzzy nonlinear programming problems (FNLP) . According to our search in the scientific reported papers, Our focus on the paper is to give a recurrent neural network model to solve the FNLP. Moreover, Besides, the global convergence and the Lyapunov stability of system are proved in this research. Finally, several numerical simulations are given to show the performance of the proposed approach.
Keywords
, Fuzzy nonlinear programming problems , nonlinear programming problem , weighting problem , recurrent neural network , globally convergent , Lyapunov stability
@inproceedings{paperid:1071294,
author = {Rahbarnia, Freydoon},
title = {A recurrent neural network model to solve nonlinear programming problems with fuzzy parameters},
booktitle = {هشتمین سمینار آمار و احتمال فازی},
year = {2018},
location = {IRAN},
keywords = {Fuzzy nonlinear programming problems ; nonlinear programming problem ; weighting
problem ; recurrent neural network ; globally convergent ;Lyapunov stability},
}
%0 Conference Proceedings
%T A recurrent neural network model to solve nonlinear programming problems with fuzzy parameters
%A Rahbarnia, Freydoon
%J هشتمین سمینار آمار و احتمال فازی
%D 2018
