Artificial neural network modeling of atmospheric corrosion in the MICAT project

This paper presents an Artificial Neural Network(ANN)-based solution methodology for modeling atmospheric corrosion processes from observed experimental values, and an ANN model developed using the cited methodology for the prediction of the corrosion rate of carbon steel in the context of the Ibero...

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Veröffentlicht in:	Corrosion science 2000, Vol.42 (1), p.35-52
Hauptverfasser:	Pintos, Salvador, Queipo, Nestor V., Troconis de Rincón, Oladis, Rincón, Alvaro, Morcillo, Manuel
Format:	Artikel
Sprache:	eng
Schlagworte:	A. Steel Applied sciences B. Modeling studies C. Atmospheric corrosion Corrosion Corrosion mechanisms Exact sciences and technology Metals. Metallurgy
Online-Zugang:	Volltext
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