探讨了风险函数对评判参数估计优劣的影响，提出了衡量估计优劣的一个概率判定准则。
We discussed the effect produced by risk function on deciding rule between two parameter estimators, gave a probability rule for choosing estimator.
然后将构件损伤引起的标准化的损伤信号指标输入概率神经网络，进行损伤构件所在侧面及所在层的判定；
Secondly, the profile and layer of the damaged member is also determined by probabilistic neural network with input of the normalized damage-signal index.
结论在进行合并高度近视的POAG视野结果判定时要依靠模式偏差概率图。
Conclusion Pattern deviation probability plots is an important favor for judgement of the visual field changes in POAG with high myopia.
该方法根据测向信息，构造误差概率密度和矩阵，根据矩阵参数将测量区域内概率密度和的最大值点判定为辐射源位置。
The algorithm constructs a error-probability density sum-matrix according to direction finding information, and determines the target which has the highest error probability density sum in the area.
在分析系统重启层次及微重启技术的基础上，给出了一种基于概率的任务关键网络系统最佳恢复策略判定方法。
Based on the analysis of system restart level and micro-reboot, a new judgement approach of best recovery strategy for mission-critical network system is presented, which is based on probability.
为了消除零信号的影响，文章提出了采用多次判定检测法，降低由零信号的现象所造成的误判概率。
To eliminate the effect of zero signals, a multi-decision method is proposed to reduce the probability of misjudgment caused by the existence of zero signals.
基于初等数论中的一些基本定理，本程序利用概率算法，快速判定一个大数是否为素数。
Based on some basic theorems in theory of Numbers this program takes advantage of probabilistic algorithm to test a large number for primality.
若以成员概率大于0 . 7的恒星作为团星的判定标准，则在5 0 1颗恒星中有165颗属于团星。
If stars with membership probability bigger than 0.7 are cluster stars, 165 stars are found to be probable members of NGC2548.
将强震概率增长时段判定法（TIP-M8）应用于粤、闽、赣交界及近海地区，资料从1985至1995年底。
Applied the Time of Increased Probability Method(TIP_M8) to the juncture area of three province (Guangdong, Jiangxi and Fujian Province) and near sea region.
该方法从图象的灰度概率域入手，将概率谱分为两个等面积的集群，通过判定群间距离检测图象的边缘。
The image histogram is divided into two equal-area clusters. By means of determining the distance between the clusters, the edges of the image are detected.
该方法从图象的灰度概率域入手，将概率谱分为两个等面积的集群，通过判定群间距离检测图象的边缘。
The image histogram is divided into two equal-area clusters. By means of determining the distance between the clusters, the edges of the image are detected.
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