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| Study on the Operational Availability Evaluation Method of Missile Weapon System Based on GM-RBF Neural Network |
| Received:July 27, 2013 Revised:August 13, 2013 |
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| DOI：10.7643/issn.1672-9242.2013.06.023 |
| KeyWord:operational availability GM-RBF neural network missile weapon system evaluation method |
| Author | Institution |
| LIU Wei |
No.91980Unit of PLA，Yantai，China |
| LI Tian-ke |
No.91980Unit of PLA，Yantai，China |
| YU Shi-cai |
Department of Electronic & Information Engineering，Naval Aeronautical & Astronautical University，Yantai，China |
| LI Jian |
No.91980Unit of PLA，Yantai，China |
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| Abstract: |
| Objective To investigate the operational availability evaluation method of missile weapon system. Methods According to the operational availability evaluation problem of missile weapon system, a combined model was put forward by operational availability evaluation using fault data based onGM（1,1）and RBF neural network.ResultsThe model overcame the disadvantages of big error and long time series prediction ofGM（1,1）and great demand of training samples and difficulty of variables selection of neural network.Conclusion Experimental results reveal that the operational availability evaluation of missile weapon system by GM-RBF neural network owns the advantages of evaluation minor error and high precision. |
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