Author(s): Raja Das, Sharief Basha. S

Email(s): shariefbasha.s@vit.ac.in

DOI: 10.5958/0974-360X.2016.00390.5   

Address: Raja Das, Sharief Basha. S*
VIT University, Vellore, Tamil Nadu, India-632014
*Corresponding Author

Published In:   Volume - 9,      Issue - 11,     Year - 2016


ABSTRACT:
The transportation problem is the classical combinatorial optimization problem arising in numerous planning and designing contexts. In this paper, a recurrent neural network for solving the transportation problem is presented. The recurrent neural network is able to generate optimal solutions to the transportation problem. The performance of the recurrent neural network is demonstrated by means of an illustrative example. The recurrent neural network is shown to be capable of generating the transportation and suitable for electronic implementation.


Cite this article:
Raja Das, Sharief Basha. S. Solving Transportation Problem using Recurrent Neural Network. Research J. Pharm. and Tech 2016; 9(11): 1905-1908. doi: 10.5958/0974-360X.2016.00390.5

Cite(Electronic):
Raja Das, Sharief Basha. S. Solving Transportation Problem using Recurrent Neural Network. Research J. Pharm. and Tech 2016; 9(11): 1905-1908. doi: 10.5958/0974-360X.2016.00390.5   Available on: https://rjptonline.org/AbstractView.aspx?PID=2016-9-11-19


Recomonded Articles:

Research Journal of Pharmacy and Technology (RJPT) is an international, peer-reviewed, multidisciplinary journal.... Read more >>>

RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

0.38
2018CiteScore
 
56th percentile
Powered by  Scopus


SCImago Journal & Country Rank


Recent Articles




Tags


Not Available