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In order to improve weapon assignment(WA)accuracy in real scenario,an artificial neural network(ANN)model is built to calculate real-time weapon kill probabilities.Considering the WA characteristic,each input representing one assessment index should be normalized properly.Therefore,the modified WA model is oriented from constant value to dynamic computation.Then an improved invasive weed optimization algorithm is applied to solve the WA problem.During search process,local search is used to improve the initial population,and seed reproduction is redefined to guarantee the mutation from multipoint to single point.In addition,the idea of vaccination and immune selection in biology is added into optimization process.Finally,simulation results verify the model′s rationality and effectiveness of the proposed algorithm. 相似文献
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防空态势评估系统分析及新型评估模型研究 总被引:1,自引:0,他引:1
态势评估是一个时敏、不确定的动态过程。为了正确评估态势、深刻认识评估过程,首先详尽分析了评估所需的18项威胁因子及其作用原理,利用高斯函数将数据模糊化并给出复杂威胁因子的贝叶斯推理模型。在此基础上提出一个优势互补的二级态势评估模型:远方目标未知信息较多时,依照关联规则假设重要未知信息,预测目标的威胁程度;信息完备时使用贝叶斯网络推理,具有更强的可信度。最后,实例仿真验证了该评估模型的正确性及合理性。 相似文献
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