Prohlížení (ZRUŠENO) 633 - Katedra tváření materiálu / Department of Materials Forming dle předmětu "artificial neural networks"
Zobrazují se záznamy 1-3 z 3
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Correlation among the power dissipation efficiency, flow stress course, and activation energy evolution in Cr-Mo low-alloyed steel
(Materials. 2020, vol. 13, issue 16, art. no. 3480.) -
Hot flow curve description of CuFe2 alloy via different artificial neural network approaches
(Journal of Materials Engineering and Performance. 2019, vol. 28, issue 8, p. 4863-4870.) -
On the Zener-Hollomon parameter, multi-layer perceptron and multivariate polynomials in the struggle for the peak and steady-state description
(Metals. 2020, vol. 10, issue 11, art. no. 1413.)