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threat degree
相关语句
  威胁度
     Analysis of Threat Degree of Target Attacked by Anti-radiation UAV
     反辐射无人机攻击目标威胁度分析
短句来源
     Furthermore, give out a comprehensive threat index, including dynamic and static capability both, to evaluate aircraft's total threat degree.
     进而,提出了一种基于战术动态效能和静态效能乘积的威胁度指标,改善了目前以静态指标为主的效能评估算法。
短句来源
     As for the patrolling task, this paper puts forward a searching method based on threat degree, and the method promises that the patrolling robots can not only search the unknown protected sea but also the area where the intruders appear more frequently, so that the probability of finding the targets can be increased.
     对于巡逻任务,本文提出了一个基于威胁度的协调搜索算法,以此算法保证巡逻机器人在进行大面积巡逻的同时重点搜索入侵目标出现频率较高的海域,从而提高了发现目标的概率。
短句来源
     2.An overall analysis of the factors that have effect on threat degree and advantage degree as well as the fuzzy distribution of individual factors;
     首次将巡航导弹作为一种特殊的空袭兵器,优先考虑了对它的分配。 2)分析了威胁度和有利度的影响因素及各单因素的模糊分布,建立了一种新的火力分配模型——“模糊排序模型”。
短句来源
     Through analyzing the limitations of the simple fuzzy inference system applied in the state′s estimation,the article puts forward to an improvement method of applying adaptive network-based fuzzy inference system and constructs the practice system of the threat degree estimation.
     并分析了单纯的模糊推理系统应用在态势评估中的局限,提出了应用自适应神经模糊推理系统的改进 方法,初步探讨了威胁度估计的自适应神经网模糊系统模型的建立。
短句来源
  威胁程度
     Based on parameterized model of target flight orbit, this paper presents an algorithm to estimate target range and other location and velocity via infrared sensor, according to this, target threat degree and target identity can be discriminated.
     通过对目标飞行轨迹的参数化建模 ,提出了由红外传感器对目标角度和辐射功率的测量实现对目标距离和其它位置、速度参数估计的算法 ,从而可以此作为目标威胁程度估计和目标特性识别的依据 .
短句来源
     In the landing operation, there are some main effect factors in the missile selecting target: target value, threat degree, destroy nature, dependability, compare of the effect and the cost and the hitting capability of the missile.
     登岛战役中战役战术中,影响导弹打击选择目标的主要因素有:目标的价值、威胁程度、易毁性、可靠性、打击效费比和导弹打击能力等6个方面。
短句来源
     Estimating the object threat degree is the key of multi-object attack decision making.
     判断目标威胁程度是多目标攻击决策的关键。
短句来源
     Evaluation on the Aerial Targets Threat Degree Based on Grey Relationship Analysis
     基于灰色关联度分析的目标威胁程度评估
短句来源
     Firstly the correlated factors which affect the targets threat degree are analyzed, and then the weight of factors is built.
     首先对影响空袭目标威胁程度的因素进行了分析; 然后阐述了如何确定影响目标威胁评估的各个指标值;
短句来源
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  “threat degree”译为未确定词的双语例句
     This paper presents a way using target type as the main property to evaluate threat degree, and using Hungarian algorithm to solve the targets assignment problem.
     本文采用了以目标类型为主要属性的威胁评估方法,然后运用匈牙利算法对得到的威胁矩阵进行目标分配。
短句来源
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The simple formulas for range estimation of the attacking aircraft and missiles were derived from the angle of accomplishing threat degree ordering by means of combination of IR radiation variation and kinematics.

从舰载红外警戒系统完成威胁程度排序的角度,针对飞行物体(如来袭的飞机和导弹)用红外辐射强度变化和运动学相结合的方法,推导出简单的距离估算公式

In C 3I, for efficiently resolving some problems, such as threat-degree estimation, etc., the features that affect these objects should be correctly determined according to battlefield conditions. So a rough set-based method for constructing simple Bayesian classifier from databases was presented here. On the basis of the feature reduction algorithm based on rough set, this method takes synthetically into account the influence of the dependency of condition features and decision-making feature towards...

In C 3I, for efficiently resolving some problems, such as threat-degree estimation, etc., the features that affect these objects should be correctly determined according to battlefield conditions. So a rough set-based method for constructing simple Bayesian classifier from databases was presented here. On the basis of the feature reduction algorithm based on rough set, this method takes synthetically into account the influence of the dependency of condition features and decision-making feature towards reduction, and the influence of the dependency among condition features towards reduction. By the dependency-based feature reduction, this method improves the independency limit among feature variables, so that the robust potential of simple Bayesian classifier is utilized and the performance of simple Bayesian classifier from databases is optimized. When those problems, such as threat-degree estimation, etc., were dealt with by this method in C 3I, obtained well experimental results.

C3 I系统在解决威胁度估计等问题时 ,应根据环境恰当确定影响威胁度等指标的诸属性 .提出了基于粗集的贝叶斯分类器算法 ,该算法在基于粗集的属性约简方法的基础上 ,综合考虑条件属性和决策属性间的依赖性以及条件属性间的依赖性对约简的影响 .通过基于依赖性的属性约简 ,改善属性变量间独立性限制 ,发挥贝叶斯分类器的鲁棒性潜能 ,优化贝叶斯分类器性能 .实验证明用该方法解决威胁度估计等 C3 I系统中的问题 ,效果良好 .

To avoid the influence of feature reduction from data pre-processing on the performance of classification, a selective approach was proposed for an ensemble of simple Bayesian classifiers(ESBC), making use of random feature selection to generate several feature subsets from the whole training set, and obtained different simple Bayesian classifiers(SBCs) with the feature subsets, and then optimized the ESBC using genetic algorithms (GA), wherein the fitness function of GA involved the accuracy and diversity of...

To avoid the influence of feature reduction from data pre-processing on the performance of classification, a selective approach was proposed for an ensemble of simple Bayesian classifiers(ESBC), making use of random feature selection to generate several feature subsets from the whole training set, and obtained different simple Bayesian classifiers(SBCs) with the feature subsets, and then optimized the ESBC using genetic algorithms (GA), wherein the fitness function of GA involved the accuracy and diversity of SBCs. In the experiments, this approach was compared with existing methods in their performance through some standard data sets from the UCI machine learning repository, and was applied to the threat-degree estimation in C3I.

提出一种基于选择性的贝叶斯分类器集成方法.该方法为避免数据预处理时的属性约简对分类效果的直接影响,在训练集上通过随机属性选取生成若干属性子集,并以这些子集训练不同的贝叶斯分类器,进而采用遗传算法优选贝叶斯分类器集成,其适应度函数综合了分类器的精度和差异度两项指标.实验中,将该方法与已有方法在UCI的标准数据集上进行了性能比较,并将该方法用于C3I系统中的威胁度估计.

 
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