Nearest Neighbor Algorithm is used as a prediction model to predict the protein subcellular locations, and gains a correct prediction rate of 70.63%, evaluated by Jackknife cross-validation.
最近邻算法是用来作为预测模型预测蛋白质的亚细胞位置，并获得一个正确的预测准确率70.63％，刀切交叉验证评估。
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。
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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