1) centroid guided maximum likelihood
质心引导的最大似然法
1.
Based on the systematic analysis of the centroid weighted (CW) and the maximum likelihood (ML) positioning algorithms for SPECT, a method called centroid guided maximum likelihood (CGML) algorithm was realized by simulation.
结果:质心引导的最大似然法估算的γ光子作用位置,可以和原始位置精确地吻合,定位误差能控制在0。
2) DF-REML
非求导约束最大似然法
1.
Genetic parameters of body length, body depth, body weight and condition factor in Japanese flounder on 185, 235, 345 and 465 days were estimated with no duplication model of single trait by DF-REML.
应用单性状无重复模型,利用非求导约束最大似然法(DF-REML),对牙鲆在185、235、345、465日龄下的体长、体高、体重、肥满度等性状遗传参数进行估计。
3) maximum likelihood estimation
最大似然法
1.
[Methods] Steps of maximum likelihood estimation(MLE) in EXCEL spreadsheet were illustrated at length with the example of measurements from a refinery.
[方法]用某炼油厂职业卫生监测数据为例,在EXCEL电子表格中,介绍了应用最大似然法(MLE)处理检测限以下测量值中的步骤。
4) maximum likelihood
最大似然法
1.
A maximum likelihood method for estimating the position and effect of sterility genes in remote hybridization of plant using an F_2 population;
利用F_2群体估计远缘杂交中不育基因的位置和效应的最大似然法
2.
Base on the systematic analysis to the positioning algorithms for the scintillation gamma cameras, a centroid guided 3D maximum likelihood positioning algorithm was proposed.
此算法和虚拟光电倍增管技术一起,在提高有效视野的情况下,用质心法计算出事件发生的位置,并对其进行非线性校正;然后在定位误差范围内,在考虑作用深度的情况,在三维空间内,用最大似然法进行作用位置的估计。
3.
In this work, the maximum likelihood method was used to fit the seven statistical SR models on seven sets of simulated SR data.
参数的估计方法为最大似然法(Maximumlikelihoodmethod)。
5) Maximum likelihood method
最大似然法
1.
A Method of dynamic system identification based on genetic algorithms is put forward through combining genetic algorithm with maximum likelihood method, and nonlinear aerodynamic parameter identification of missile using simulation data is carried out to verify the validity and feasibility of the formed method.
把遗传算法与最大似然法相结合 ,形成了一种基于遗传算法的动力学系统辨识方法 ,并以某轴对称战术导弹的非线性气动力参数仿真辨识为例 ,利用仿真技术 ,检验了该方法的实用性和有效性。
2.
After these questions are described,this paper explains the principles and application background of gray analysis method,maximum likelihood method,and Panel Data model.
系统阐述了灰色分析、最大似然法、PanelData模型的原理和应用背景,并选择洞庭湖流域的年入湖径流量变化,湘水流域景观格局变化的水文响应,以及洞庭湖流域景观格局变化的驱动力等作为实证分析对象。
6) maximum likelihood classifier
最大似然法
1.
In order to improve the accuracy of remote sensing image classification and compensate the weakness of maximum likelihood classifier,this paper puts forward a new classification method,which is based on Support Vector Machine(SVM).
采用ETM数据,按照其所提方法进行了具体分类实验,并将实验结果与最大似然法分类的结果进行了比较分析。
2.
13%,followed by the BP network algorithm,and the maximum likelihood classifier has the worst performance.
以甘肃省为试验区,基于单时相MODIS数据,主要利用其可见光多波段光谱信息,分别使用最大似然法、BP神经网络算法以及基于See 5。
3.
The main contents and conclusions were summarized as follows through the research:(1) Classifying the QuickBird image of the research region in level 1 by Maximum Likelihood Classifier, there was a better result of the distinction between the forest and water, farmland ,other.
通过研究,得出以下结论:(1)对研究区QuickBird影像进行一级分类,发现最大似然法能较好的区分林业用地、水体、农田及其它等一级地类,并将分类结果用于中山陵及各景区地类统计。
补充资料：最大似然法
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条