再次，根据基于最小二乘法的曲线拟合理论，提出了基于曲线拟合的轨迹预测模型（FCTP）来提高轨迹预测的精度，并将FCTP模型和跟踪窗口自适应的MeanShift算法相结合进行目标跟踪。
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提出建立自适应列车运动轨迹预测模型，并对如何提高定位精度进行了分析。
A model is built on the basis of the moving law of the train to predict the train location and analysis is made as regards how to reduce positioning errors.
这一模型可用于预测循环床中颗粒相的速度、颗粒轨迹和颗粒相浓度。
The model is used to predict the velocity, particle trajectory and concentration of the particle phase in circulating fluidized bed.
利用该建模方法，给出了地面运动目标轨迹的灰色自适应预测模型。
With the modeling method, the paper gives the gray self -adaptive forecast model of the ground mobile target.
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