Title : ( A neural network to solve quadratic programming problems with fuzzy parameters )
Authors: Amin Mansoori , Sohrab Effati , mohammad eshaghnezhad ,
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Abstract
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 parameters · Neural network model · Fuzzy mapping · Bi, objective problem · Weighting problem
@article{paperid:1075810,
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 = {2018},
volume = {17},
number = {1},
month = {March},
issn = {1568-4539},
pages = {75--101},
numpages = {26},
keywords = {Quadratic programming problem with fuzzy parameters · Neural network
model · Fuzzy mapping · Bi-objective problem · Weighting problem},
}
%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 2018
