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http://hdl.handle.net/10263/4668Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Datta, Shubhabrata | - |
| dc.contributor.author | Das, Prasun | - |
| dc.date.accessioned | 2012-11-02T09:44:24Z | - |
| dc.date.available | 2012-11-02T09:44:24Z | - |
| dc.date.issued | 2007-02 | - |
| dc.identifier.citation | International Journal of Production Research, V. 45, no. 3,p.699-717 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10263/4668 | - |
| dc.language.iso | en | en_US |
| dc.subject | Artificial neural network | en_US |
| dc.subject | Regression model | en_US |
| dc.subject | Back propagation algorithm | en_US |
| dc.subject | Learning | en_US |
| dc.title | Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Mathematics and Statistics | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Exploring the non-linearity in empirical modelling of a.pdf | 15.86 MB | Adobe PDF | View/Open |
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