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《Ordnance Industry Automation》 2011-01
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Sensitivity Analysis of Operational Effectiveness Based on SVM

Li Dong1,Wang Lu1,Kang Wenzheng2(1.Dept.of Command,Naval Aeronautical & Astronautical University,Yantai 264001,China; 2.Headquarters,Naval Fly Academy,Huludao 125001,China)  
Starting from the assessment itself,the construction method of learning samples for less than the traditional method of sensitivity analysis is proposed based on the operational effectiveness of SVM sensitivity analysis.Analysis based on least squares support vector machine(Least Square Support Vector Machine,LS-SVM) operational effectiveness model and principle.The paper proposed a new learning sample construction method based on attribute utility function estimation,and PSO algorithm LS-SVM parameter optimization method.Summary based on the operational effectiveness of support vector machines algorithm sensitivity analysis,using the data in reference example for numerical example.The results show that the method does not need to consider the complex relationship between the decision attribute,in the flexibility and the amount of information provided on the conventional analytical method,calculation speed is better than the Monte Carlo method.
【Fund】: 总装备部装备预研基金资助项目(513040301)
【CateGory Index】: E91
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