A Comparison of Neural Networks and Wavelets Networks for Predicting Creep and Rupture Resistance of Ferritic Steels Universidade de São Paulo, São Carlos, SP, Brazil

Format:

Conference/Event

Author/Creator:

Penha, Renata Neves, author.

Conference Name:

SAE Brasil 2007 Congress and Exhibit (2007-11-28 : Sao Paulo, Brazil)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2007-01-2827

Access Restriction:

Restricted for use by site license