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单词 least square regression
释义
least square regression
  • 简明释义
  • 最小二乘回归:一种统计学方法,用于寻找一组数据中最能描述数据特征的线性关系。
  • 网络释义
  • 1

    ?最小二乘方回归

    ... 最小二乘方拟合:least square fit 最小二乘方回归least square regression 最小二乘方等式:least-square equation ...

  • 2

    [数]?最小二乘回归

    ... least square procedure 最小二乘法 least square regression 最小二乘回归 least square residuals 最小平方剩余 ...

短语
  • 双语例句
  • 1
    But in the specific solution, only the least square regression is needed to solve.
    但在具体求解中只需用最小二乘法。
  • 2
    The validity, features and adaptive region of these models are analysed through test, and compared with the least square regression model.
    通过实验分析这两种模型的有效性、特点及适用范围,并与常用的最小二乘回归模型相比较。
  • 3
    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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更新时间:2025/8/15 13:03:27