Flight path prediction method

The invention discloses a flight path prediction method. The method comprises the steps: considering the meteorological environment of a flight, extracting meteorological features through a convolutional neural network, modeling flight path features through a recurrent neural network, and finally outputting a series of future flight paths, specifically including the steps of flight path data preprocessing, meteorological feature extraction, time sequence model definition, model compiling and training, and flight path prediction. Through the technical scheme of the invention, the long-term flight trajectory can be accurately predicted in an actual environment. 本发明公开了一种航班航迹预测方法，考虑航班所处的气象环境，利用卷积神经网络提取气象特征，利用一种循环神经网络对航迹特征进行建模，最终输出得到一系列未来航班轨迹，具体包括航迹数据预处理、气象特征提取、定义时序模型、模型编译及训练、航迹预测。通过本发明的技术方案，能够在实际环境下对航班长期轨迹进行准确预测。