time-sequence-based predictive model 时间序列预测模型
The paper sets up a time sequence model of laser gyro random error and processes the drift data by Kalman filter based on the model.
在对激光陀螺漂移数据建立时间序列模型的基础上，对激光陀螺的漂移数据进行了卡尔曼滤波。
In this paper, the time - sequence model of traffic flow is based on the improved BP neural network, and this model can be used for short time prediction of traffic flow.
本文采用改进型BP神经网络建立起交通流的时间序列模型，该模型可用于短期内道路交通流量的预测。
The synergetic method mainly includes: noise-separating method based on time sequence model of atomic clock and malfunction - separating and positioning method based on malfunction-tree.
该方法的内容包括：原子钟一阶模型的噪声分离方法和故障树的故障分离、故障定位方法。
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