Experimental results show that the forecast effect of PLS-SVM model precedes obviously the common PLS model.

实验结果表明PLS - SV M建模法的预测效果明显优于常规的PLS回归建模方法。

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First of all, because it extracts data character of input spectrum by using PLS, so the dimensions of input variable of SVM modeling are decreased effectively.

由于PLS - SV M建模法先通过PLS提取输入光谱的数据特征，因此有效降低了SVM模型输入变量的维数。

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