Artificial Intelligence in Analysis of Fast Dynamic Actions

This paper introduces the application of artificial intelligence based on the artificial neural networks, the parallel computational algorithm for analyzing the nonlinear actions. Two similar applications are studied: the artificial neural network (ANN) trained and simulated for position estimation (position tracking) and ANN network for velocity estimation. This methodology can be used for various appliances and for generalization process. The comparison in time of processing for classical analyses and AI analyses differs, depending on the type of computational hardware used for analyze. Generally it could be said that AI solution is time less time-consuming than the standard algorithmic and propose results in quasi real time without need of signal preprocessing. As an experimental solution, this proposes future trends in vision signal processing where the classical methods are replaced by the artificial intelligence, which is not always the correct direction, but as we can see in this method possible.