Abstract
The paper is devoted to increasing the accuracy of the classification of objects on optical images by developing a structure, model and method of teaching the combined neural network and creating on its basis an intelligent image recognition system for tasks of the oil and gas industry - diagnostics, forecasting of emergency situations of technological objects.
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