شماره ركورد كنفرانس :
4028
عنوان مقاله :
A recurrent neural network model to solve the fuzzy shortest path problem
پديدآورندگان :
Eshaghnezhad Mohammad m_ shaghnezhad@yahoo.com Ferdowsi University of Mashhad , Rahbarnia Freydoon Ferdowsi University of Mashhad , Effati Sohrab Ferdowsi University of Mashhad
كليدواژه :
Fuzzy shortest path problem , linear programming problem , weighting problem , recurrent neural network , globally convergent.
عنوان كنفرانس :
هشتمين همايش ملي سمينار آمار و احتمال فازي
چكيده فارسي :
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.
