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• W2000585864 abstract "Accurate knowledge of critical transformation temperatures in steels such as the austenitizing temperature, T γ, isothermal bainite and martensite start temperatures, B S and M S, is of unquestionable significance from an industrial and research point of view. Therefore a significant amount of work has been devoted not only in understanding the physical mechanism lying beneath those transformations, but also obtaining quantitatively accurate models. Nowadays, with modern computing systems, more rigorous and complex data analysis methods can be applied whenever required. Thus, Artificial Neural Network (ANN) analysis becomes a very attractive alternative, for being easily distributed, self-sufficient and for its ability of accompanying its predictions by an indication of their reliability." @default.
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• W2000585864 date "2007-03-28" @default.
• W2000585864 modified "2023-10-17" @default.
• W2000585864 title "Artificial neural network modeling for the prediction of critical transformation temperatures in steels" @default.
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• W2000585864 doi "https://doi.org/10.1007/s10853-006-0881-2" @default.
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