Name
Abstract | ||
|---|---|---|
Abstract. This work compares a few attempts based on Neural and Wavelet networks, for extracting the Jominy hardness pro le of steels di-rectly from the chemical composition. In particular, the paper proposes a multi-networks architecture, where a rst network is used as a para-metric modeler of the Jominy pro le itself, while a second one is used as a parameter estimator from the steel chemical composition. |
Year | Venue | Keywords |
|---|---|---|
1999 | ESANN | chemical composition,network architecture,parameter estimation |
Field | DocType | Citations |
Pattern recognition,Computer science,Parametric statistics,Artificial intelligence,Wavelet | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentina Colla | 1 | 159 | 29.50 |
| Leonardo Maria Reyneri | 2 | 154 | 34.66 |
| Mirko Sgarbi | 3 | 26 | 5.72 |