The Artificial Neural Networks in Cosmic Ray Physics Experiment; I.Total Muon Number Estimation

摘要

In this paper the possibility of using the Artificial Neural Network technique for the individual Extensive Air Showers data evaluation is discussed. It is shown that the recently developed new computational methods can be used in studies of Extensive Air Showers registered by very large and complex detector systems. The Artificial Neural Network can be used to find a particular Extensive Air shower parameter like e.g. total muon number. The example using hte KASCADE array experiment geometry is given.