Network-Based Fast Analysis Method for Aircraft Reachable Area

In order to solve the issue of rapid collaborative mission planning for aircraft, a basic process for using neural networks to train intelligent prediction models to solve the reachable range is proposed. First, the idea of dichotomy is used to carry out traversal simulation experiments and the sample databases under various states is generated. Then, the neural network method is used to construct a trajectory reachable area prediction model, train and test the reachable area prediction model. Finally, the simulation analysis is carried out, and the simulation results showed that the method adopted in this paper is reasonable and feasible. The reachable area of the aircraft track is a polygonal area with upper and lower basic symmetry and left and right asymmetry.