Title :
The application of neural networks for the army oil supply
Author :
Xianfu, Yu ; Pengcheng, Zhao ; Li, Wang
Author_Institution :
Air Force Logistics Coll., Xuzhou, China
Abstract :
This article adopts two developed methods-Hopfield networks (HN) and self-organization networks (SONN)-to find the most appropriate supply-center for the army to use for the supply of petroleum. 2 methods are discussed and are compared with the traditional optimum technique
Keywords :
Hopfield neural nets; logistics data processing; self-organising feature maps; stock control data processing; HN; Hopfield neural networks; SONN; army oil supply; optimum technique; self-organization neural networks; Neural networks; Petroleum;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863425
