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Predicting the vessel lumen area tree-ring parameter of Quercus robur with linear and nonlinear machine learning algorithms Cover

Predicting the vessel lumen area tree-ring parameter of Quercus robur with linear and nonlinear machine learning algorithms

Geochronometria
Volume 45 (2018): Issue 1 (January 2018)
By:
Open Access
|Nov 2018
DOI: https://doi.org/10.1515/geochr-2015-0097 | Journal eISSN: 1897-1695
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Language: English
Page range: 211 - 222
Submitted on: Jan 26, 2018
Accepted on: Aug 28, 2018
Published on: Nov 5, 2018
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
dendroclimatology,
artificial neural networks,
multiple linear regression,
machine learning,
vessel lumen area
Related subjects:
Geosciences,
Geosciences, other

© 2018 Jernej Jevšenak, Sašo Džeroski, Tom Levanič, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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