ID 原文 译文
50697 采用综合考虑主客观因素的结构熵权法确定各威胁指数权值并作为神经网络训练参数进行训练， considering the structure of the subjective and objective factors of entropy method is used to determine the threat index weights for neural network training and parameters to train,
50698 提出了改进萤火虫算法(improved glowworm swarm optimization，IGSO)和BP神经网络相结合的空战动态权值计算方法。 proposed to improve the firefly algorithm (improved glowworm swarm optimization, IGSO) and BP neural network combining the dynamic weight calculation method of air combat.
50699 该算法采用改进萤火虫算法优化BP网络的权值和阈值，优化后的BP网络能更好地计算不同态势下的威胁指数权值，从而根据威胁估计模型进行威胁评估。 The algorithm with the improved firefly algorithm to optimize BP network weights and threshold, the optimized BP network can better calculation under different situation, the threat of index weight, and according to the threat estimation model for threat assessment.
50700 以某一时刻预测多无人机空中对抗时的威胁度为想定，分别采用结构熵权法和IGSO-BP进行仿真计算。 Predict more drones at a certain moment in air combat threat degree to want to decide, respectively, the entropy weight method is adopted and IGSO - BP simulation calculation.
50701 结果表明: 结构熵权法能够科学合理地计算各威胁指数权值，IGSO-BP算法可有效解决空战目标威胁评估问题， The results show that the calculated structure entropy weight method can scientifically threat index weights, IGSO - BP algorithm can effectively solve the problem of air targets threat evaluation,
50702 且所提算法与现有几种算法相比在可靠性和准确性上都有明显提高。 and the proposed algorithm is compared with several existing algorithms on the reliability and accuracy are improved obviously.
50703 研究了一种基于虚拟变偏振理论的红外面目标细节增强方法，该方法充分挖掘和利用了红外偏振信息的固有特点， Study a red outside target based on virtual variable polarization theory details enhancement method, this method fully mining and use of the inherent characteristics of the infrared polarization information,
50704 利用入射光Stokes矢量和出射光光强之间的描述关系推导出出射光光强和起偏角度的解析关系， using the incident light Stokes vector and emergent light strong guy parachuting is derived and a description of the relationship between strong and slant Angle analytical relations,
50705 并据此虚拟实现了任意起偏角度的出射光光强， and on the basis of virtual achieved arbitrary slant Angle of emergent light is strong,
50706 然后依据面目标信杂比最大准则，利用粒子群算法迭代实现了最优起偏角度的搜索， and on the basis of surface target shift-and-correlate than maximum criterion, using the iterative particle swarm algorithm to achieve the optimal slant Angle search,