Applying neural networks for prediction of flying objects trajectory

Аннотация

The problem of flying object’s trajectory prediction in material transportation by throwing is considered. Neural Network Prediction is proposed as a learning-based method for forecasting of object future position. Preliminary evaluation of the approach, using simulation software, is made. This evaluation show, that approach can satisfy requirements if equipment for throwing and measuring is precise.