Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/13553| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | I. Kuzmanovski, S. Aleksovska, | en_US |
| dc.date.accessioned | 2021-06-15T07:27:50Z | - |
| dc.date.available | 2021-06-15T07:27:50Z | - |
| dc.date.issued | 2003 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/13553 | - |
| dc.relation.ispartof | Chemometrics and Intelligent Laboratory Systems, 67, 167–174 (2003). | en_US |
| dc.title | Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression | en_US |
| dc.identifier.doi | https://doi.org/10.1016/S0169-7439(03)00092-3 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| Appears in Collections: | Faculty of Natural Sciences and Mathematics: Journal Articles | |
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