ID	原文	译文
6704	建立了基于遗传算法的飞行操控量求解策略。	Based on genetic algorithm of flight control strategy.
6705	针对操控量求解的实时性问题,基于径向基核函数神经网络,提出了以适应度函数为预测和评判标准的机动飞行操控量快速求解方法。	For manipulation of the quantity to solve the problem of real time, based on radial basis function neural network, is put forward to fitness function to predict and judge maneuvering flight control fast solving method.
6706	从而建立了初始状态、性能指标与机动飞行操控量的非线性映射模型,实现了机动轨迹的快速生成和机动曲线的精度控制,并通过仿真验证了该方法的有效性。	Thus established the initial state, the performance index and maneuvering flight control of nonlinear mapping model, has realized the fast maneuvering trajectory generation and motor curve accuracy control, and the effectiveness of the proposed method is validated by computer simulation.
6707	针对退化型失效的复杂装备系统,提出基于隐图解评审技术(hidden graphic evaluation and review technique,HGERT)网络模型来进行系统可靠性预计和评估的方法。	For degradation failure of complex equipment system, based on the implicit graphic review techniques (hidden graphic evaluation and review technique, HGERT) network model for system reliability prediction and evaluation method.
6708	图解评审法(graphic evaluation and review technique,GERT)网络中的节点代表装备失效过程中正常状态到失效状态的转移,通过传感器将反映系统隐性状态的性能特征参数进行量化输入,从而将GERT网络中的各个劣化状态节点进行展开。	Graphical evaluation and review technique (graphic evaluation and review technique, GERT) nodes in a network of representatives equipment failure in the process of the transfer of normal state to failure state, through the sensor will reflect the performance of the system the recessive state input characteristic parameters quantitatively, thus the deterioration state of GERT network nodes.
6709	应用Viterbi算法对模型参数进行解码和学习,确定退化型失效系统状态转移概率。	Using Viterbi algorithm decoding and the study of model parameter, to determine the degradation type system state transition probability of failure.
6710	将装备运行中所处的工作应力、环境载荷等影响性能衰退的因素作为输入,将关键性能指标退化量作为输出,建立装备性能退化的一般控制模型并将其作为GERT网络活动传递的随机变量。	Will be in the operation of the equipment's working stress and environmental load as input factors influencing the performance decline, will be key performance indicators (kpis) degradation as well as the output, the general control model established equipment performance degradation and transfer it as GERT network activity of random variables.
6711	借助于信号流图理论对参数进行解析,监测系统处于不同状态时的性能退化水平,为故障预测和装备健康管理提供支持。	By means of signal flow graph theory is used to parse the parameters, the monitoring system is in a state of different levels of performance degradation, provide support for fault prediction and equipment health management.
6712	案例通过对铣床性能退化量的分析,证明所构模型的可行性和合理性。	Case through the analysis of the amount of milling machine performance degradation, prove the feasibility and rationality of the model.
6713	无人机集群协同态势觉察一致性是集群协同作战获取信息优势的重要条件,基于此提出了基于变权区间数Heronian算子的集群态势觉察一致性评估方法,用于多种(作战仿真)情况下集群协同态势觉察一致性分析。	Unmanned aerial vehicle (uav) cluster synergy situational awareness consistency is vital to cluster together to achieve information superiority, based on this proposed based on the interval number variable weight Heronian operator cluster situational awareness of conformity assessment method, used in a variety of collaborative situational awareness () battle simulation case cluster consistency analysis.