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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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将无人机作为通信中继来辅助完成超视距信息交互,当通信双方进行信息交互时,采用两路中继模型,针对不同信道状态下的转发协议调度问题,提出了自适应解调转发(Adaptive Demodulation-Forward,ADMF)协议和混合型转发协议.将直接解调转发(Demodulation-Forward,DMF)协议和差分D...  相似文献   
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