• Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.

    人工神经网络不具备统计回归模型的显式表达形式,是一种隐式模型,因而有它的缺陷性。

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  • A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.

    将粒子群算法引入大坝安全监控领域,并结合多元回归统计模型,建立基于粒子群算法的混凝土坝变形预报模型。

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  • Then it establishes a stepwise statistical regression model. Finally, the model prediction effect is comparative analysis by comparing the characteristic parameters of the model.

    并建立了逐步回归统计模型,通过对比模型的预测特征参数,比较分析了模型间的预测效果。

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  • In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints.

    第三章是关于回归系数的可容许估计,这包括统计线性模型不受约束和受约束的情形。

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  • Then, the empirical distributing probability model of merging spots was set up by using regression techniques and statistical methods.

    运用回归技术和统计方法,建立了加速车道合流点分布概率的实测经验模型。

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  • Based on this, an on-line evaluation model of process stability with statistical method and partial-least-square regression (PLSR) was set up which overcome the multicollinearity of input parameters.

    采用统计分析和偏最小二乘回归方法提出了过程稳定性在线评价模型,克服了输入变量严重多重相关性的问题。

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  • Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.

    线性模型是一类很重要的统计模型,它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。

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  • Since the algorithm does not require a prior regression model with unknown variables, it can be utilized in the circumstances where other traditional statistical regression algorithms fail.

    该算法由于不需要先验地建立一个参数未知的回归模型,因此可以用在其他传统统计回归算法失效的场合。

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  • Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.

    线性模型是很重要的一类统计模型,它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。

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  • Secondly, based on the system, evaluation model has set up by utilizing statistical linear regression model method.

    其次,在此评价指标体系的基础上,利用统计中的线性回归模型的方法建立了评价模型。

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  • In the data analysis, theoretical assumptions and model was tested through Descriptive Statistical analysis, ANOVA, Bivariate Correlations analysis, and Linear Regression analysis and so on.

    采用描述性统计分析、单因素方差分析、相关分析、回归分析等统计分析方法对调查数据进行分析,对理论假设和模型进行验证。

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  • Based on a descriptive analysis, this paper adopts the 2-logistic regression model for regression statistical analysis.

    在描述性分析的基础上,本文的运用了二项逻辑斯谛回归模型进行了回归统计分析。

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  • This method is a modified model of Statistical Jump Regression Analysis, and also modifies the energy function from L2 to L1.

    该方法是基于统计的跳变回归方法的改进型,并将能量函数由L2改为L1。

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  • This method is a modified model of Statistical Jump Regression Analysis, and also modifies the energy function from L2 to L1.

    该方法是基于统计的跳变回归方法的改进型,并将能量函数由L2改为L1。

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