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Predicting with networks: Nonparametric multiple regression analysis of dyadic data

โœ Scribed by David Krackhardt


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
925 KB
Volume
10
Category
Article
ISSN
0378-8733

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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: