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A Comparison of Neural Networks and Wavelets Networks for Predicting Creep and Rupture Resistance of Ferritic Steels
Technical Paper
2007-01-2827
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This work is based in a model of neural and wavelets networks using published experimental data. The objective is to compare a neural and a wavelet network estimating the creep rupture strength based on chemical composition of Fe-2.25Cr-Mo and Fe-(9-12)Cr steels, and on its heat treatment temperature and life time. It will be determined the configuration that provides the best fit of the data.
Authors
Citation
Penha, R. and Franceschini Canale, L., "A Comparison of Neural Networks and Wavelets Networks for Predicting Creep and Rupture Resistance of Ferritic Steels," SAE Technical Paper 2007-01-2827, 2007, https://doi.org/10.4271/2007-01-2827.Also In
References
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