在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
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