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Comparison of a neural network with multiple linear regression for quantitative analysis in ICP-atomic emission spectroscopy

โœ Scribed by C. Schierle; M. Otto


Book ID
112291588
Publisher
Springer
Year
1992
Tongue
English
Weight
408 KB
Volume
344
Category
Article
ISSN
1618-2650

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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: