Processing laser beam spot images using the parallel-hierarchical network for classification nad forecasting their energy center

PROCESSING LASER BEAM SPOT IMAGES USING THE PARALLEL-HIERARCHICAL NETWORK FOR CLASSIFICATION AND FORECASTING THEIR ENERGY CENTER

The paper presents a method of forecasting the energy center position of the laser beam images using the parallel-hierarchical network. Main steps for classification and forecast of energy center coordinates of laser beam spot images are described, which allow to develop a new information technology for their classification and forecast their energy center coordinates. Predictions based on the known neural networks and on the proposed method using the parallel-hierarchical network were evaluated experimentally