An intelligent system for forecasting the properties of metallic materials is developed. On the basis of a specially trained neural network, a model of a dynamic system for the synthesis of new materials, including by 3D printing, is obtained, which is capable of forecasting time series similar to the evolution of fractal characteristics of acoustic emission emitted during crystallization.
Keywords: material, neural network, modeling, acoustic emission, forecasting, time series, fractal dimension, synthesis.
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