Big data analysis on manufacturing variables affecting properties of medium density fiberboard
Author:
Funder
Korea Forest Service
Publisher
Springer Science and Business Media LLC
Subject
General Materials Science,Forestry
Link
https://link.springer.com/content/pdf/10.1007/s00107-023-02030-6.pdf
Reference38 articles.
1. Ayrilmis N, Benthien JT, Ohlmeyer M (2017) Effect of wood species, digester conditions, and defibrator disc distance on wettability of fiberboard. J Wood Sci 63:248–252. https://doi.org/10.1007/s10086-017-1620-9
2. Bickel PJ, Li B, Tsybakov AB, van de Geer SA, Yu B, Valdés T, Rivero C, Fan, van der Vaart A (2006) Regularization in Statistics. Sociedad de Estad´ıstica e Investigaci´on Operativa Test, 15(2): 271–344
3. Cai Z, Muehl JH, Winandy JE (2006) Effects of panel density and mat moisture content on processing medium density fiberboard. For Prod J 56(10):20–25
4. Chai T, Draxler RR (2014) Root mean square error (RMSE) or mean absolute error (MAE)? Geosci Model Dev Discuss 7:1525–1534. https://doi.org/10.5194/gmdd-7-1525-2014
5. Chicco D, Warrens MJ, Jurman G (2021) The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Comput Sci 7:1–24. https://doi.org/10.7717/PEERJ-CS.623
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