Research on Performance Quality Prediction Method of Missile Based on Grey Theory and SVM
- https://doi.org/10.2991/msam-18.2018.31How to use a DOI?
- grey theory; linear weighted; SVM; quality prediction
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/msam-18.2018.31 ID - Huang2018/07 ER -