...色理论(grey model,GM)所需原始数据少、建模简单、运算方便等优势,以及最小二乘支持向量机(least square support vector machine,LS-SVM)所具有的泛化能力强、运算速度快、非线形拟合精度高、参数优化好、小样本等优点,建立了灰色理论和最小二乘..
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结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
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