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regression function相关的网络例句

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与 regression function 相关的网络例句 [注:此内容来源于网络,仅供参考]

President of the world interconnection holds CEO Zhang Xiangning concurrently to express, internet can undertake regression certainly, do not have the district concept, Internet that was not apart from a concept from, regression is mixed completely to existing real corporeal life can the system of a service of direct correspondence.

天下互联董事长兼CEO张向宁表示,互联网一定会进行一次回归,从一个没有地域概念、没有距离概念的互联网,回归到一个完全和现有的实际的有形的生活能够直接对应的一个服务体系。

To make occurrence degree prediction, single factor regression algorithms, stepwise regression algorithms, discriminatory analysis, Markovian model, fuzzy mathematics theory and Back propagation neural network algorithms are studied and models are builded.

将筛选出的主要气象因子作为预测因子,分别用单因子回归预测法、逐步回归预测法、判别分析预测法、马尔柯夫链预测法、模糊数学预测法与神经网络预测法建立了关中地区小麦吸浆虫的发生程度的预测模型。

However, in some situations, models are hard to satisfy these assumptions at the same time. We meet a number of random errors with serial correlation and heteroscedasticity in practical problems. The rationality of these assumptions for random errors is doubtable. Therefore, it is necessary to test for correlation and heteroscedasticity in regression, which is an important step of dealing with regression problems and plays an important role in theory and practice.

但实际问题中,回归模型很难同时满足Gauss-Markov的三个假设,人们在实际问题中发现许多随机误差出现序列相关和方差不同的现象,因此对回归模型的随机误差的独立性和方差齐性的假设产生了质疑,从而展开了回归模型的相关性和异方差检验的研究,它是处理回归问题的重要步骤,在理论和应用上都有十分重要的意义。

After theoretic analyzing support vector machine technique, the equipollence of support vector classification and regression problems is proofed, and a uniformed expression of support vector machine problem is gotten. The noise stained case is studied emphatically, and the experiment shows that a better result will be obtained by assigning weight factor to fit noise distribute characteristic. A multi-multiplier minimal optimization algorithm for norm-1 problems is deduced, and a kind of improved Gilbert geometric algorithm for norm-2 problems is introduced, which is applied in regression problems successfully.

课题细致深入地讨论和研究了软测量模型的三个基本问题,首先是软测量模型的可实现性,即软测量模型存在唯一解的条件,以及知识利用的度量等一些相关的概念,体现出混合软测量模型在知识利用有效性上的优势;然后对模型不确定性的概念进行了讨论,研究了模型可靠性问题,得出测量精度与软测量模型可靠性之间的关系;最后讨论了软测量模型与传统软测量方法的关系,说明软测量模型是传统软测量方法的发展。

First, a specialist in Emergency medical review the 1,281 charts during June 24-July 8, 2004 to decide syndrome group of each patient, and using it as the golden standard. This study collected CC, ICD-9 code, body temperature, and epidemiological data of 126,675 emergency department patients in five hospitals in Taipei during Oct. 1, 2005-Feb. 14, 2007 to set up Poisson regression for counts time series model and use cumulative sum and exponential weighted moving average for alerting. The Poisson regression for counts time series model controlled age, gender, hospitals, Saturday, Sunday, holiday, daily temperature difference, daily lowest temperature, relative humidity and seasonal factors to predict ILI and AGE cases.

做法上,由专科医师回顾台北市某医院2004年一周共1,281 笔的急诊病患资料进行症候群分类,建立症候群的黄金标准;并收集台北市五家医院2005年10月1日至2007年2月14日共126,675 位急诊病人之主诉症状、ICD-9 码、体温及流行病学相关资料,进行症候群侦测数据分析,以建立波以松时间序列分析预测模式(Poisson regression for counts time series),且控制重要因子(性别、年龄、医院别、周六、周日及假日效应、日温差、每日最低温、相对湿度及季节),进行流感及急性肠胃炎个案数之预测。

This text verify the linear regression relation of the power factor, efficiency and rated loading according to the spot data, and proof the linear regression relation is more accurate than other related relation.

本文还根据现场数据确定了功率因数、效率和负载率三者之间的线性回归关系,并证明了线性回归关系比其他相关关系准确。

Through analysis of regression model with 4 factorial polynomial, regression equation of electrical parameters to roughness and machining time are built.

通过对实验结果的4阶多项式回归模型的回归分析,分别建立了电参数对表面粗糙度以及加工时间的回归方程。

A smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line.

在回归分解中相对于一批对数的光滑曲线;对线性回归来说曲线是直线。

The linear regression of the three factors—seed diameter, length of friction and gear gap to the hulling efficiency was determined and the significance of the regression equation was tested.

通过以籽粒粒径、碾搓行程和破壳装置动、定齿盘间隙为研究对象的三因素三水平重复试验,得出了此三者与破壳效果间的线性回归方程,并做了回归方程的显著性检

For deformation monitoring in dam, simultaneously survey must be taken to physical quantity as well as the distortion value, then functional relation between them can be established by means of statistical regression analysis method that is called regression analysis method.

对大坝进行变形监测,必须同时测量产生变形的各种物理量以及变形的结果,结合统计回归分析的方法建立两者之间的函数关系,这就叫做回归分析方法。

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