L.I. Timchenko, S.V. Nakonechnaya, N.I. Kokriatskaya
Èlektron. model. 2018, 38(1):47-62
https://doi.org/10.15407/emodel.38.01.047
ABSTRACT
The paper describes a method of forecasting the position of the energy center (EC) of the laser beam image using parallel-hierarchical networks. The basic steps for classification and forecasting of EC coordinate image spots of the laser beam, which gives the opportunity to develop new technology for the intelligent classification and prediction of coordinate position of their EC. The results of the comparative experimental evaluation of the prediction based on the known neural networks and the proposed method with the use of parallel-hierarchical network are presented.
KEYWORDS
forecasting, energy center, laser beam, parallel-hierarchical network, classification, preparation, neural networks.
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