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Regionalisation of the parameters of a hydrological model: Comparison of linear regression models with artificial neural nets

โœ Scribed by Griet Heuvelmans; Bart Muys; Jan Feyen

Book ID
116658125
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
600 KB
Volume
319
Category
Article
ISSN
0022-1694

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โœ Igor Kuzmanovski; Slobotka Aleksovska ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 314 KB

The unit cell parameters (a, b, c) of orthorhombic perovskites (of A 2 + B 4 + O 3 and A 3 + B 3 + O 3 type) were predicted both using multiple linear regression analysis (MLR) and two types of artificial neural networks (ANN). In these analyses, 70 compounds of above perovskite type were included: