Research on Modeling and Application of Anti-Submarine Decision-Aided System Based on Neural Network
Wang Fenfen, Haiming Tian, Jiangfeng Jin, WanYong Yuan, Tong Zhang · 2022 34th Chinese Control and Decision Conference (CCDC) · 2022
With the development of aviation anti-submarine technology, there are many advanced anti-submarine aircraft equipped with decision-aided system. Aiming at the problem of how to apply anti-submarine decision-aided system, this paper studies an effectiveness evaluation model based on neural network by taking the parallel sector pattern as an example. Simulation results show that the trained model is extremely accurate, which can guide pilots to set more precise parameters of anti-submarine decision-aided system in real time without long time Monte-Carlo simulation. In practice, this model can provide a theoretical reference for the anti-submarine warfare.