Prediction Method of Real-time System Task Flow of Aviation Equipment Based on Wavelet Neural Network

In view of the difficulties in scheduling aperiodic real-time tasks in the real-time aviation equipment system, task flow prediction method for this system was studied in this paper. According to the characteristics of the real-time aviation equipment system and based on the wavelet neural network (WNN), a task flow prediction model was built, and a forecast simulation experiment was performed by using the model. The experimental results show that task flow in a real-time system can be effectively predicted by the task flow prediction system established based on WNN.