• The present paper presents a new NIR multi-component analysis method with Artificial Neural Network (ANN) and Partial Least Square Regression (PLS).

    提出了一种神经网络(ANN)和偏最小二乘法(PLS)结合的新的近红外(N IR)多组分分析法。

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  • Then the basic concepts of principal component analysis and partial least square regression are studied, as well as their advantages and disadvantages.

    引入了主成分分析与偏最小二乘回归等多元统计与回归方法,并分析了其基本思想与优缺点。

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  • A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.

    提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法,并应用于初顶石脑油干点软测量模型建立。

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  • The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.

    将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中,提出了分别采用这两种方法确定网络权重的算法。

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  • A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.

    运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。

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  • This paper creatively develops the convertible bond pricing model based on Partial Least Square Regression(PLS). We formulate this model from the American option pricing model based on PLS.

    本文原创地提出了基于偏最小二乘回归(PLS)的可转债定价模型,将基于PLS的美式期权定价方法拓展到了可转债的定价;

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  • Then all data were analyzed by principal component regression (PCR) and partial least square (PLS).

    采用主成分回归(PCR)和偏最小二乘法(PLS)对试验数据进行了多元统计分析。

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  • Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.

    根据偏最小二乘回归的基本原理和建模的基本思路,建立数学模型并将其应用于电厂机组的参数预测中。

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  • Parameters of aircraft effectiveness is analyzed, and a new effectiveness forecasting method based on partial least-square regression is proposed.

    通过实例与神经网络法的结果进行了比较,结果表明偏最小二乘回归更精确和简单。

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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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  • Analyze the near infrared spectrum of the glucose concentration using main component regression and partial least square algorithm, build up the adjusting mathematical model.

    采用主成分回归和偏最小二乘法分别对血糖近红外光谱进行分析,建立数学校正模型。

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  • Calibration models of quantitative analysis of the content of peanut oil in blended edible oil were built using partial-least-square (PLS) regression and other methods.

    采用偏最小二乘法(PLS)等方法建立了食用调和油中花生油含量定量分析的近红外光谱定标模型。

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  • Calibration models of quantitative analysis of the content of peanut oil in blended edible oil were built using partial-least-square (PLS) regression and other methods.

    采用偏最小二乘法(PLS)等方法建立了食用调和油中花生油含量定量分析的近红外光谱定标模型。

    youdao

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