Neural network system for measurement of movement plasma parameters in electrodynamic railgun

The author discusses the use of neural networks for the measurement of plasma movement parameters in the channel of an electrodynamic accelerator ("railgun"). The algorithm is based on the application of the Method of the Coordinate Function (MCF) offered by the author. It is shown that as against known measuring systems the offered structure on base neural networks allows to raise measurement accuracy of instant speed and position (coordinate) of the plasma in the channel of the electrodynamic accelerator. Results of research were received with use of the computing experiment on a mathematical model and computer program "MMVS" offered by the author.