Resumen

JIMENEZ-SANCHEZ, Doniel  y  ARZOLA-RUIZ, José. Regularized neural networks applied to the estimation of the mechanical properties of steel profiles. Ingeniería Mecánica [online]. 2017, vol.20, n.3, pp. 115-121. ISSN 1815-5944.

The use of the radial baseartificial neural networks for the estimation of the mechanical properties of the heats starting from its chemical composition and traverse surface of the finished profile facilitates the options generation process forthe heats destination while producingsteel slight profiles dedicated to the constructions. In the present work this estimation is made by radial base artificial neural networks, trained by the Landweber regularization iterative method, starting from the available mechanical properties data obtained from the quality control of the workshops adopted as Study Case. The use of regularized networks allows diminishing the generalized errors in the mechanical properties estimation, improving this way the quality of the options of destination of the heats produced.

Palabras clave : basis neural networks; regularization strategies; operative production management.

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