Then, parameters selection method of LS-SVR was proposed based on adaptive immune algorithm (AIA) plus 5-fold cross validation, which was applied to inverse kinematics modeling of 2DOF robot.

并将其应用于两自由度机器人的逆运动学建模中，仿真结果表明了该方法的有效性。

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Tracking random targets with Support Vector Regression (SVR) is studied and compared with the Least Square (LS) estimate in this paper.

本文研究了支持向量回归(SVR)在机动目标跟踪中的应用，并与传统回归方法最小二乘法(LS)进行了比较。

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