Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

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

Authors
Gongda Yan, Peng Dong, Wei Lu, Peng Yu
Corresponding Author
Gongda Yan
Available Online February 2018.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.115How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 527
EP  - 531
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.115
DO  - https://doi.org/10.2991/csece-18.2018.115
ID  - Yan2018/02
ER  -