并根据实际情况，采用了圆条件坐标杀伤概率的方法判别目标毁伤情况，最后给出了计算步骤。
According practice instance, the method of estimating target damage degree is presented using warhead coordinate damage probability in the round condition.
根据差异界面、扰动效应和尖端效应等原则并结合具体的边界条件，判别目标体的存在与否以及存在的大致空间形式。
Then to distinguish that there are or not objectives and their approximate space shape is based on some principles such as differential interface, disturbed effect, point response, etc.
以基于SCADA信息快速判别电网稳定薄弱环节为目标，提出一种新的启发式暂态稳定评估策略。
A novel heuristic stability assessment scheme was proposed based on the objective of identifying power system stability weak-point according to SCADA data.
目标识别笼统的定义就是对目标类型或属性等做出某种判别。
General definition of target recognition is that makes out the type or attribute of target.
因为改进了逃逸时间算法的判别标准，因此，目标集合是边界点集。
Because the judgment criteria on the escape time algorithm is improved, the object set is the boundary set.
并提出了一种根据问句目标词共现率来判别句子所属框架的方法。
Besides, a method using target words cooccurrence degree was presented to identify the correct frame for the sentence.
雷达目标模型化是提取目标的轮廓和重心等特征参数，进而通过模型匹配对目标回波进行判别处理的过程。
Radar target modeling is a technology which can extract the targets outline and barycenter characteristic, then does the distinction processing through the model matching to targets.
由目标的实测数据，计算特征向量总体的均值和协方差矩阵及其逆矩阵，由距离判别法进行目标识别。
The mean and covariance matrixes and their inverse matrixes of all eigen vectors are obtained through measured data of the target. And the target is recognized by techniques of range discrimination.
本文给出多目标规划有效解适应鞍点准则的一个新的判别法，它不使用凸性的几何术语及凸分析中的概念。
This paper offers a new characterization method for an efficient solution of multiobjective programming satisfying the saddle point criteria.
建立以Fisher判别函数为优化目标的适应度，利用粒子群算法中多个随机粒子实现核函数参数的优化，改善了核主元分析方法的性能。
Firstly, it constructs a fitness function which Fisher discriminate function is optimized object, then WCPSO is used to optimize it by its many random particles to improve the performance of KPCA.
然后，用目标多特征识别算法对泰勒锥的周长、面积和锥高等特征进行识别，实现对泰勒锥的形态和大小实时判别；
The perimeter, area and height of the Taylor cone are recognized by the multi-featured pattern recognition algorithm to judge the shape and size of the Taylor cone.
另外目标是否被发现，除了目标特征与背景特征是否一致等客观因素，还与观察判别人员的知识、经验以及分析判别能力等主观因素有关。
The target can be or not be detected not only depended on the characteristics of target and background hut also related to the observation.
另外目标是否被发现，除了目标特征与背景特征是否一致等客观因素，还与观察判别人员的知识、经验以及分析判别能力等主观因素有关。
The target can be or not be detected not only depended on the characteristics of target and background hut also related to the observation.
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