Abstract
Results of experimental investigations into the microhardness of metal–ceramic nanocomposite coatings have been approximated with the apparatus of artificial neural networks. A neutral-network dependence of the microhardness on the concentration of the metal phase and microhardnesses of “pure” phases has been obtained. An algorithm of employment of a neural network for calculation of the microhardness of nanocomposites has been presented.
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