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中文摘要：
海洋环境中各种气象水文要素对海军武器装备的作战效能影响显著，且影响机理复杂，这大大增加了海军武器装备作战效能的评估难度。针对武器装备作战效能评估问题中的小样本、非线性和高维度等问题，文中提出将v-支持向量回归机（v-supportvectorregression，v-svR）模型应用到该作战效能评估问题中。v-支持向量回归机模型最终转化为凸二次规划问题，文中采用基于分解思想的序列最小优化（sequentialminimaloptimization，SMO）算法进行求解：并对参数选取问题进行了讨论。针对某作战平台的作战效能评估实例，基于v-支持向量回归机建立了评估模型，实验结果表明了所提评估模型的有效性。基于v-支持向量回好机的评估模型能够降低对专家经验的依赖，其评估结果具有较高的客观性。
英文摘要：
Operational effectiveness of naval weapon equipment is influenced by the meteorological and hydrological elements of marine environment with complex mechanism, which greatly enhances the difficult of the operational effectiveness evaluation of weapon. Ai- ming at the nonlinear and multi-dimension problem with small sample in the evaluation, v-support vector regression { v-SVR ） model is applied to the operational effectiveness evaluation of weapon. The model can be converted into convex quadratic programming problem, which is solved by sequential minimal optimization algorithm based on decomposing in this paper. The selection of parameters in the V- SVR model is also discussed. Aiming at the operational effectiveness evaluation instance of an operation platform, the evaluation model is established based on v-SVR, and the experimental results show the effectiveness of the proposed model. The v-SVR model can reduce the impact of the expertise, which makes the evaluation results more objective.
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