| ID | 原文 | 译文 |
| 54817 | 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. |
| 54818 | 针对系统模型存在多个未知参数的情况,提出了一种基于改进核平滑辅助粒子滤波(improved kernel smoothing auxiliary particle filtering,IKS-APF)的失效预测方法。 | Aiming at a number of unknown parameters, system model is proposed based on an improved nuclear smooth auxiliary particle filter (improved kernel smoothing auxiliary particle filtering, IKS - APF) failure prediction method. |
| 54819 | 首先,在已有核平滑辅助粒子滤波基础上引入增益因子和加速因子,使其具有参数方差双向调节能力和更快的参数估计收敛速度。 | First of all, in the existing nuclear smooth auxiliary particle filter based on introduction of gain factor and acceleration factor, the two-way adjustment ability with parameter variance and parameter estimation convergence speed faster. |
| 54820 | 然后,使用ISK-APF进行状态和参数的联合估计,为确保参数估计的准确性同时减少参数的不确定性,设计了方差监视和短期预测误差匹配相结合的自适应粒子方差控制方案。 | Then, use the ISK - joint estimation of states and parameters of APF, in order to ensure the accuracy of parameter estimation at the same time reduce the uncertainty of parameters, design the monitoring and matching with the combination of short-term prediction error variance adaptive particle variance control scheme. |
| 54821 | 最后,使用最新估计到的状态和参数粒子进行迭代预测,并通过统计状态粒子首达失效状态空间的时间计算出剩余使用寿命(remaining useful life,RUL)。 | Finally, using the latest iteration projections estimate to the states and parameters of particle, and through statistical state particle first failure state space time to calculate the residual service life (remaining useful life, url). |
| 54822 | 仿真结果证明了本文方法的有效性和优越性。 | Simulation results prove the validity and superiority of this method. |
| 54823 | 针对现有直觉模糊核c-均值(intuitionistic fuzzy kernel c-means,IFKCM)聚类算法对初始值敏感、易陷入局部最优解及收敛速度慢等缺陷,汲取了粒子群优化(particle swarm optimization,PSO)算法优势,对初始聚类中心进行优化,提出了基于粒子群优化的直觉核c-均值(particle swarm-based intuitionistic fuzzy kernel c-means,PS-IFKCM)聚类算法,选取4组标准数据集实际样本数据对算法的有效性进行了试验。 | In view of the existing intuitionistic fuzzy nuclear c - average (intuitionistic fuzzy kernel c - means, IFKCM) clustering algorithm is sensitive to the initial value, easy to fall into local optimal solution and the defects such as slow convergence speed, drawing the particle swarm optimization (particle swarm optimization, PSO) algorithm advantage, optimize the initial clustering center, was proposed based on particle swarm optimization intuition nuclear c - average (particle swarm - -based intuitionistic fuzzy kernel c - means, PS - IFKCM) clustering algorithm, selecting 4 samples of standard data sets the actual data to test the effectiveness of the algorithm. |
| 54824 | 最后选取弹道中段目标识别常用的雷达截面积(radar cross section,RCS)这一特征属性进行弹道中段目标识别仿真实验,并将其与模糊c-均值(fuzzy c-means,FCM)算法、IFKCM算法的识别效果及运行时间进行比较分析,表明了该算法应用于弹道中段目标识别的有效性及优越性。 | Lastly, ballistic midcourse commonly used radar target recognition cross-sectional area (radar cross section, the RCS) this feature attributes, ballistic midcourse target recognition simulation experiment with the fuzzy c - average (fuzzy c - means, FCM algorithm, IFKCM algorithm of the recognition effect and operation time for comparative analysis, shows that the algorithm is applied to the effectiveness and superiority of ballistic midcourse target recognition. |
| 54825 | 为统一描述联合论证模式中体系结构数据,基于《国际国防企业体系结构规范》(international defense enterprise architecture specification,IDEAS)提出了联合论证元模型(joint demonstration meta-model,JDM2)。 | For universal description joint model architecture data, based on the international defense architecture specification (international defense enterprise architecture specification, IDEAS) proposed joint demonstration metamodel (be individual meta - model, JDM2). |
| 54826 | 首先,介绍了业务对象参考本体(business object reference ontology,BORO)、IDEAS和国防部元模型(department of defense meta-model,DM2),从设计机理方面剖析了DM2不适用于描述联合论证内容的根本原因以及DM2概念数据模型(conceptual data model,CDM)、逻辑数据模型(logical data model,LDM)和物理交换规范(physical exchange schema,PES)3层结构的优点;然后,借鉴本体理论和DM2设计思想基于联合论证空间提出了JDM2中的概念数据模型; | First, this paper introduces the business object reference ontology (business object reference ontology, BORO), IDEAS, and the department of defense metamodel (department of defense, meta - model, DM2), analyzed the DM2 discomfort from the aspects of mechanism design is used to describe the root cause of the joint demonstration content and DM2 conceptual data model (the conceptual data model, CDM), the logical data model, logical data model, a LDM) and physical exchange specification (physical exchange schema, PES) the advantages of the three layer structure;Then, how to use the theory of ontology and DM2 design thought based on joint demonstration space JDM2 of conceptual data model is put forward;On the basis of conceptual data model based on constructed JDM2 IDEAS specification of the logical data model. |