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## least square regression

• 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。
• · The least square regression is widely used in data analysis to find the best-fitting line.
• 最小二乘回归广泛应用于数据分析，以找到最佳拟合线。

### 网络释义专业释义

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 ...

[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 ...

least square regression method [会计] 最小平方回归法 ; 最小二乘回归法

Partial Least Square Regression 偏最小平方回归 ; 偏最小二乘法 ; 偏最小二乘回归模型

weighted least square regression 加权最小平方回归法

least square regression line 最小平方回归直线

fuzzy least square regression 模糊最小二乘回归

Local least square regression 局部最小二乘回归

nonlinear least square regression 非线性最小二乘回归

更多收起网络短语
• 最小二乘方回归
最小二乘回归
• 最小平方迴归

·2,447,543篇论文数据，部分数据来源于NoteExpress

### 双语例句

• But in the specific solution, only the least square regression is needed to solve.

具体求解中只需最小乘法

• The validity, features and adaptive region of these models are analysed through test, and compared with the least square regression model.

通过实验分析两种模型有效性特点适用范围与常用的最小回归模型相比较

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

提出一种神经网络(ANN)最小乘法(PLS)结合新的红外(N IR)多组分分析法

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