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Bayes Formula probability trees probability theory probability tree method

贝叶斯公式;概率树;概率论;概率树法

On such bases, we apply logistic regression to reach a forecasting model for those ST companies before the year of special treatment and we also estimate the cut-off point of the model based on Bayes formula.

我们相信,这一判别模型不仅是对本文研究结论的一个总结和具体应用,而且对于监管部门、投资者、债权人、公司管理层均有一定的借鉴作用。

This method computes the frequency numbers and point scores through the naive Bayes formula, then the dataset can be analyzed and classified visually by the constructed PSPC.

该方法利用简单贝叶斯公式计算各属性值或属性值区间的频数和点得分,最后根据构建的点得分平行坐标即可进行数据集的可视化分析和未知样本的分类。

A comprehensive knowledge expression is put forward, a model of self-learning is established by adopting formula of Bayes, through which the threshold values of parameters and certainty factors can be revised automatically. Knowledge acquisition is the most important link for building blast furnace expert system.

高炉专家系统的知识库需要不断改进,为此,建立了高炉炉况规则的自学习模型,针对高炉炉况的判断规则,建立了高炉专家系统的实例学习、类比学习、知识库求精及知识库维护机制。

First, the formal representation of the search environment is established, the multi-UAV is modeled as a controlled system and the predictive model of the system is presented. Considering the uncertainty of the sensor measurement and the environment, a Search Probability Map is defined and the updating method based on Bayes formula is presented. Based on SPM, information gain is defined to measure the search effects and used to be the optimization object in the predictive horizon. By using of GA, the solution of the optimization problem is got and it is taken as the input of the controlled system.

首先,建立搜索环境的规则描述,然后将多个UAV建模为一个控制系统,建立系统的预测模型,考虑到UAV传感器测量的不确定性和环境自身的不确定性,建立搜索概率图描述搜索环境的不确定性,给出了基于Bayes准则的搜索概率图更新方法,继而基于搜索概率图定义信息增益来衡量搜索效果,并将预测周期内的优化目标定为最大化信息增益,采用遗传算法进行求解,得到最优解作为被控系统的输入。

The Bayes formula is used in judicature to calculate the probability of all the clauses which lead to the occurrence of one event , what is needed in judicature is the mathematical model to calculate the probability from the crime doubts when some cases occur, upon which the cases have been judged fairly and justly.

Bayes公式是当某个事件发生后用来计算引起该事件发生的所有原因的可能性大小的计算公式。在司法排案中需要的就是当某个案件发生后建立计算哪些嫌疑人作案的可能性大小的数学模型,以此排案量刑,做到公正公平。

Therefore, a new hypergeometric distribution method is proposed for testability estimation and demonstration. Based on hypergeometric distribution, the maximum likelihood estimate method is applied in point estimation, and the Bayes formula is applied for interval estimation, hence a testability demonstration rule is provided.

基于故障检测成功数的超几何分布,利用极大似然法思想研究了RR(上标 FIC指标的点估计方法,利用贝叶斯公式研究了区间估计方法,并给出了测试性验证规则。

Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.

本文的主要工作有:(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题;(2)拟合出10余种典型分布的Beta分布的两个参数,并且采用剩余标准差评价该Beta分布的拟合精度;(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示;(4)在假设先验分布为均匀分布前提下,得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式;(5)利用直接抽样的Gibbs抽样算法,从后验分布中产生MCMC样本,从样本直接计算均方误差损失函数下的贝叶斯点估计,并使用一种近似方法计算其置信区间,完成区间估计。

This paper based on Bayes posterior probability formula, establishes a dynamic model for the identification of fractures by using five performance paramete1 such as water breakthrough period, waterline movement velocity, using velocity of water cut, cumulative injection production ratio, and injection pressure. It carries out an analogy between the samples to be distinguished and the known ones to confirm how to classify them.

将油水井见水周期、水线推进速度、含水上升速度、累积注采比、注水压力等5个参数作为动态变量,基于Bayse后验概率公式建立动态裂缝识别模型,将待判别的样品与已知类型的样品进行类比,以确定待判别样品的归类。

OBJECTIVE To design and develop a clinical pharmacokinetics and individual drug dosage regimens system CPKDP program for estimating individual pharmacokinetic parameters and optimizing individualizing dosage regimens using routine clinical data of plasma levels. METHODS According to the principle of population pharmacokinetics and Bayes" formula, CPKDP program was written with FOXPRO 2.6 and BORLAND C++ 3.1, and was run on 486 microcomputer with UCDOS 5.0. RESULTS CPKDP program was adapted for drugs with different characteristics of pharmacokinetics, and for single dose or multiple dose administration. Using 1 or 2 measured drug concentrations, individual patient"s pharmacokinetic parameters were estimated based on population-average pharm-acokinetic parameters. CONCLUSION CPKDP program is applied for estimating pharmacokinetic parameters and optimizing drug therapy in individual patients.

目的为利用临床常规监测的血药浓度数据估算病人的个体药动学参数,优化给药方案,设计、研制了临床药动学给药个体化系统CPKDP程序方法依据群体药动学原理及Bayes公式,CPKDP程序用FOXPRO 2.6和BORLAND C++ 3.1开发,在希望汉字系统UCDOS 5.0平台上运行结果CPKDP程序适用于具有不同药动学特征的多种药物,适用于不同给药途径的单剂量或多剂量给药在群体药动学参数的基础上,结合病人个体特征,以1,2个血药浓度作为反馈,即可拟合估算个体药动学参数,优化给药方案结论经初步应用,CPKDP程序是应用Bayes反馈法开展临床个体化给药工作非常实用的工具

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推荐网络例句

Don not attempt to do something which you can not to do.

不要企图做那些办不到的事情。

The expression of CTGF and TNF-αweredetected by immunochemistry and the number of Clara Cells was calculated.

光镜下观察肺组织的病理变化,采用免疫组化染色观察肺组织中结缔组织生长因子和肿瘤坏死因子-α的表达和Clara细胞的数量。

The latest results are published online January 13 in the Journal of the National Cancer Institute. They come from a case–control study that involved 459 cases,"which, for the rarity of this cancer, is a very big study," Dr. Stang said.

Stang医师表示,这项最新的研究结果线上发表在1月13日的国家癌症机构期刊上,研究来自一项收纳459个病例的病例控制研究,这是一项非常大的研究。