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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Translated from Inzhenerno-Fizicheskii Zhurnal, Vol. 87, No. 2, pp. 445–453, March–April, 2014.
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Valyukhov, S.G., Kretinin, A.V. & Stognei, O.V. Use of Neutral-Network Approximation for Prediction of the Microhardness of Nanocomposite Coatings. J Eng Phys Thermophy 87, 459–468 (2014). https://doi.org/10.1007/s10891-014-1032-2
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DOI: https://doi.org/10.1007/s10891-014-1032-2