High Speed Aircraft Intent Prediction Based on ANFIS with Swarm Intelligence Algorithm
Yufei Liu, Mou Chen, Shuyi Shao · 2025
For increasing the accuracy and speed of hypersonic target intent prediction, thereby enhancing the success rate of target inception, an intent prediction method for high-speed vehicles is proposed based on an adaptive neuro fuzzy inference system (ANFIS) with flood algorithm. Firstly, the ANFIS is employed to predict target's intent by using nine features. Then the flood algorithm is introduced to tune the optimal preset parameters and construct parameters of the neural network. Thus, the accuracy and speed are improved for the neural network intent prediction model with flood algorithm. Finally, the simulation results demonstrate that the performance of the developed algorithm has obvious advantages over ant-colony-based improved ANFIS and long-short-term-memory-network intent prediction model.