Research on Performance Quality Prediction Method of Missile Based on Grey Theory and SVM

DOI

10.2991/msam-18.2018.31How to use a DOI?

Keywords

grey theory; linear weighted; SVM; quality prediction

Abstract

Accurately grasping the performance quality status of the missile is a prerequisite for ensuring the completion of the operational task. At present,in a real missile launch exercise,in order to ensure the success of the launch,the method of fist passing the test and then launching is usually adopted.This method can hardly meet the large-scale,high-volume and high-efficiency operational requirements in the future battlefield.In order to meet the future operational requirements,based on the past test data of the performance parameters of the missile and the information of daily management and stored,combined the information of actual missile launch results,this paper uses grey theory,linear weighted comprehensive evaluation and SVM to accurately predict the performance quality status of the missile,and provide technical support for operational decision-making.

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/).

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TY  - CONF
AU  - Rui Huang
AU  - Xiaofang Liu
AU  - Xiang Zheng
PY  - 2018/07
DA  - 2018/07
TI  - Research on Performance Quality Prediction Method of Missile Based on Grey Theory and SVM
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 140
EP  - 145
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.31
DO  - 10.2991/msam-18.2018.31
ID  - Huang2018/07
ER  -