Aviation flow prediction method
A traffic forecasting and aviation technology, applied in neural learning methods, aircraft traffic control, instruments, etc., can solve problems such as large errors and low accuracy
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[0057] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0058] An aviation flow forecasting method based on spatiotemporal graph convolutional neural network and height layered weighting of the present invention is mainly composed of spatiotemporal graph convolution model framework and flight height layered weighting algorithm, such as figure 1 Shown, the present invention specifically comprises the following steps:
[0059] S1: Based on the spatial attention mechanism and temporal attention mechanism, construct a spatiotemporal attention module and apply different weights to nodes near the waypoint;
[0060] Attention mechanism: In the space and time dimensions, waypoints at different positions influence each other, but this influence is very dynamic, and the influence on a waypoint has different importance. Therefore, this mechanism is used to assign different weights to the data of different waypoints. The g...
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