Fuzzy Optimization and Decision Making, ( ISI ), Volume (2), No (1), Year (2016-11) , Pages (1-27)

Title : ( A neural network to solve quadratic programming problems with fuzzy parameters )

Authors: Amin Mansoori , Sohrab Effati , mohammad eshaghnezhad ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

In this paper, a representation of a recurrent neural network to solve quadratic programming problems with fuzzy parameters (FQP) is given. The motivation of the paper is to design a new effective one-layer structure neural network model for solving the FQP. As far as we know, there is not a study for the neural network on the FQP. Here, we change the FQP to a bi-objective problem. Furthermore, the bi-objective problem is reduced to a weighting problem and then the Lagrangian dual is constructed. In addition, we consider a neural network model to solve the FQP. Finally, some illustrative examples are given to show the effectiveness of our proposed approach.

Keywords

, Quadratic programming problem with fuzzy parametersNeural network modelFuzzy mappingBi, objective problemWeighting
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1059689,
author = {Mansoori, Amin and Effati, Sohrab and Eshaghnezhad, Mohammad},
title = {A neural network to solve quadratic programming problems with fuzzy parameters},
journal = {Fuzzy Optimization and Decision Making},
year = {2016},
volume = {2},
number = {1},
month = {November},
issn = {1568-4539},
pages = {1--27},
numpages = {26},
keywords = {Quadratic programming problem with fuzzy parametersNeural network modelFuzzy mappingBi-objective problemWeighting problem},
}

[Download]

%0 Journal Article
%T A neural network to solve quadratic programming problems with fuzzy parameters
%A Mansoori, Amin
%A Effati, Sohrab
%A Eshaghnezhad, Mohammad
%J Fuzzy Optimization and Decision Making
%@ 1568-4539
%D 2016

[Download]