... 一般来说，属性水平的估计模型有三种：间断线性模型（The piecewise linear model）、线性矢量模型（The linear vector model ）和曲线模型（The curvilinear model）。
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The paper gives same linear relation proposition and argument among vector groups in the vector space, and USES proposition to solve simple model problematic calculation in the vector space.
给出了向量空间中向量组间相同线性关系的命题与证明，并用命题简捷解决了向量空间典型问题的计算。
Using linear programming technique and scaling kernel function, the support vector regression model was obtained.
通过线性规划技术和采用尺度函数作为核函数来实现支持向量回归模型。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
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