Prediction of mechanical properties of wood fiber insulation boards as a function of machine and process parameters by random forest-Reference-Cited by-同舟云学术

Prediction of mechanical properties of wood fiber insulation boards as a function of machine and process parameters by random forest

Published:2020-05 Issue:3 Volume:54 Page:703-713
ISSN:0043-7719
Container-title:Wood Science and Technology
language:en
Short-container-title:Wood Sci Technol

Author:

Schubert M.,Luković M.,Christen H.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Plant Science,General Materials Science,Forestry

Link

https://link.springer.com/content/pdf/10.1007/s00226-020-01184-3.pdf

Reference37 articles.

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3. Bishop CM (2006) Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, Berlin

4. Breiman L (2001) Random Forests. Mach Learn 45:5–32

5. Burden F, Winkler D (2009) Bayesian regularization of neural networks. In: Livingstone DJ (ed) Artificial neural networks: methods and applications. Humana Press, Totowa, NJ, pp 23–42

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