Title : ( An projection recurrent neural network model to solve the fuzzy shortest path problem )
Authors: mohammad eshaghnezhad , Freydoon Rahbarnia , Sohrab Effati ,
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Abstract
In the presence research, we are going to obtain the solution of the fuzzy shortest path -FSP- problem. 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 FSP. Moreover, the proposed model is proved to be globally stable. Finally, several numerical simulations are given to show the performance of the proposed approach.
Keywords
, Fuzzy shortest path problem bi, objective problem weighting problem recurrent neural network globally exponentially stable.
@inproceedings{paperid:1073008,
author = {Eshaghnezhad, Mohammad and Rahbarnia, Freydoon and Effati, Sohrab},
title = {An projection recurrent neural network model to solve the fuzzy shortest path problem},
booktitle = {هشتمین سمینار آمار و احتمال فازی},
year = {2018},
location = {مشهد, IRAN},
keywords = {Fuzzy shortest path problem bi-objective problem weighting problem recurrent neural network globally exponentially stable.},
}
%0 Conference Proceedings
%T An projection recurrent neural network model to solve the fuzzy shortest path problem
%A Eshaghnezhad, Mohammad
%A Rahbarnia, Freydoon
%A Effati, Sohrab
%J هشتمین سمینار آمار و احتمال فازی
%D 2018
