A neural network motion predictor

Abstract

In this paper, the authors present the results of applying an Elman recurrent net to the prediction of the motion of an object. This neural network predictor can be used in the robot navigation system developed by Meng and Picton (1992) as an online predictor. An Elman net, a fast learning algorithm and an online learning scheme using specialised learning are described. Finally, they present the simulation results for three cases and conclusions.