提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。

A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).

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提出了一种基于最小二乘支持向量机(LSSVM)非线性观测器的卫星姿态控制系统故障诊断方法。

A fault diagnosis method for satellite attitude control systems is presented based on least squares support vector machine (LSSVM).

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文中提出了一种基于边界近邻的最小二乘支持向量机，采用寻找边界近邻的方法对训练样本进行修剪，以减少了支持向量的数目。

A new least squares support vector machines based on boundary nearest was proposed, which reduced the number of support vector by using boundary nearest methods pruning the training Sam.

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