Engineering applications, the interpolation and regression (curve fitting) function expression usually are used to describe data to solve the problem.

工程应用中通常用插值和回归(曲线拟合)解决函数表达式描述数据的问题。

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The upper and lower envelopes are constructed by using LSSVM regression instead of spline interpolation in EMD.

同时以LSSVM回归方式形成包络线，以取代传统EMD中的三次样条插值；

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Kriging interpolation maps for residuals were drawn. The residuals of classic regression and spatial regression had high consistency, and the distributions were in line with the soil nutrients.

对回归模型残差进行逆距离权重插值，发现空间回归和传统回归的残差分布具有较高的一致性，并且符合土壤养分分布情况。

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