Study on Scientific Location Level Classification and Optimization Methods of Military Equipment Maintenance Support Sites Network

DOI

10.2991/csece-18.2018.115How to use a DOI?

Keywords

Military equipment; Maintenance support sites; Location level classify

Abstract

The scientific location of military equipment maintenance support sites problems are concerned by scholars. We study how to solve the location level classify without participation of experts, by setting up Hopfield neural network module, designing concrete computational procedures, and finally illustrating though an application case. The study can provide simple and practical theories and methods' reference for our military equipment maintenance support sites activities.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Gongda Yan
AU  - Peng Dong
AU  - Wei Lu
AU  - Peng Yu
PY  - 2018/02
DA  - 2018/02
TI  - Study on Scientific Location Level Classification and Optimization Methods of Military Equipment Maintenance Support Sites Network
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 527
EP  - 531
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.115
DO  - 10.2991/csece-18.2018.115
ID  - Yan2018/02
ER  -