ID 原文 译文
56058 仿真结果表明,该方法能够实现对虚假航迹的准确鉴别。 The simulation results show that the method can realize the accurate identification of false track.
56059 针对效能评估与作战运用未能有效衔接的问题,研究了空中对抗作战中的兵力变化问题。 For effectiveness evaluation and the operational application failed to join problem, research the strength change in the air combat operations.
56060 给出了数据链体制下作战飞机效能评估计算方法,通过函数映射法将评估结果转化为平均战斗力水平,证明了二者的等价性和一致性。 Gives the combat aircraft under the data link system effectiveness evaluation calculation method, through the function mapping method to evaluation results into average strength, proves the equivalence of the two and consistency.
56061 以蓝彻斯特方程为基础,建立了空中兵力变化的数学模型和有增援情况时的空战模型。 On the basis of blue Chester equation, established the mathematical model of the air force change and reinforcement situations of air combat model.
56062 将用微分方程描述的模型离散化,指出了离散时间步长所应满足的约束条件,形成了完整的模型求解数值计算方法。 Described by differential equation model discretization, points out the discrete time step should satisfy the constraints, formed a complete model to solve the numerical calculation method.
56063 仿真实验结果表明,数据链可以改变双方作战实力,提高作战能力,增援作战时选择"局部最优增援时刻点"可以获得更高的增援效率。 The simulation experimental results show that the data link can change the fighting strength, improve the operational capability, supporting combat when choose "local optimal reinforcement moment point" can obtain higher efficiency of reinforcements.
56064 结合极值理论与多因素耦合系统建模仿真思路,提出了一种基于Copula的多维极值风险评估方法。 Combined with extreme value theory and multi-factor coupling system modeling simulation, puts forward a multi-dimensional extremum risk assessment method based on copulas connect.
56065 针对飞行过程中的复杂随机性,基于蒙特卡罗法提取所需要的三维极值参数,验证了所提取极值参数具有和试验数据相同的分布形式,并构建了飞行风险发生的判定条件。 Aimed at the complex in the process of flight randomness, three-dimensional extremum based on monte carlo method to extract the required parameters, to extract the extremum is verified by parameter has the same form of distribution, and the test data and build the flight risk decision condition.
56066 在对一维极值参数符合广义极值分布的假设进行证明的基础上,提出了三维极值参数的四参数变权重(four adaptive weight parameters,FAWP),Copula模型利用自适应粒子群算法对一维和三维目标函数中的未知参数进行了辨识,对多种Copula辨识出的三维极值分布进行了拟合优度检验,结果表明FAWP Copula对三维极值参数分布形式的描述最为精确。 On one-dimensional extremum parameters conform to the generalized extreme value distribution assumption to prove that, on the basis of 3 d and extremum parameters is put forward four parameters of the variable weight (four adaptive weight parameters, FAWP), copulas connect model using adaptive particle swarm optimization (pso) algorithm for a peacekeeping three-dimensional target function of the unknown parameters for the identification, for a variety of copulas connect identify three dimensional distribution of the extreme value of test of goodness of fit, the result shows that FAWP copulas connect to form a description of the most accurate three-dimensional parameters of extreme value distribution.
56067 利用FAWP Copula模型对尾流遭遇情形下的飞行风险概率进行了量化计算,所得指标可用来研究尾流场内的风险规避策略及算法。 Using FAWP copulas connect model to wake in case the flight risk probability of quantitative calculation, the index can be used to study wake field of risk avoidance strategy and algorithm.