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Wood Material Science & Engineering Volume 16, 2021 - Issue 1
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Articles

The effect of class-balance and class-overlap in the training set for multivariate and product-adapted grading of Scots pine sawn timber

Linus Olofssona Wood Science and Engineering, Luleå University of Technology, Skellefteå, SwedenCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5562-5142View further author information
ORCID Icon,
Olof Bromana Wood Science and Engineering, Luleå University of Technology, Skellefteå, SwedenView further author information
,
Johan Ojaa Wood Science and Engineering, Luleå University of Technology, Skellefteå, Sweden;b Norra Timber, Skellefteå, SwedenView further author information
&
Dick Sandberga Wood Science and Engineering, Luleå University of Technology, Skellefteå, SwedenORCID Iconhttps://orcid.org/0000-0002-4526-9391View further author information
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Pages 58-63 | Received 12 Mar 2020, Accepted 23 Jul 2020, Published online: 04 Sep 2020

References

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  • Olofsson, L., Broman, O., Skog, J., Fredriksson, M. and Sandberg, D. (2019c) Multivariate product adapted grading of scots pine sawn timber for an industrial customer, part 2: Robustness to disturbances. Wood Material Science & Engineering, 14(6), 420–427.
  • Prati, R. C., Batista, G. E. and Monard, M. C. (2004) Class imbalances versus class overlapping: An analysis of a learning system behavior. In Mexican International Conference on Artificial Intelligence, pp. 312–321. Springer.
  • Swedish Sawmill Managers Association (1994) Nordic Timber: Grading Rules for Pine (Pinus Sylvestris) and Spruce (Picea Abies) Sawn Timber: Comercial Grading Based on Evaluation of the Four Sides of Sawn Timber (Markaryd: Föreningen Svenska Sågverksmän).
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