本文在国内首次提出将支持向量机回归理论应用到地下矿泉水质参数的预测中。
In this paper, we studied SVM as regression techniques for natural mineral water quality parameters prediction.
将改进的支持向量回归机与B -样条网络相结合，提出了一种建立回归曲线模型的新算法。
A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.
提出一种新的在线逆散射方法—支持向量机，通过支持向量机将原问题转化成一个回归估计问题。
In this paper, a new online methodology is presented for the solution of inverse scattering problems.
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