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Prediction of wheat quality parameters using near-infrared spectroscopy and artificial neural networks

✍ Scribed by Ayse C. Mutlu; Ismail Hakki Boyaci; Huseyin E. Genis; Rahime Ozturk; Nese Basaran-Akgul; Turgay Sanal; Asuman Kaplan Evlice

Publisher
Springer
Year
2011
Tongue
English
Weight
281 KB
Volume
233
Category
Article
ISSN
0044-3026

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Nonlinear statistical models based on artificial neural networks have been constructed to predict the thickening times of class G, class H, and class A oil well cement slurries from physicochemical data on cement powders. These data include chemical composition, particlesize distributions, and Fouri