Comparison of traditional regression models and artificial neural network models for height-diameter modeling in uneven-aged fir stands

Mustafa Kağan ÖZKAL, Davut ATAR, Mehmet AYDIN, Fatih TUNÇ

doi:https://doi.org/10.29329/JofBS.2021.348.01

Original article | Journal of Biometry Studies 2021, Vol. 1(1) 1-7

Comparison of traditional regression models and artificial neural network models for height-diameter modeling in uneven-aged fir stands

Mustafa Kağan ÖZKAL, Davut ATAR, Mehmet AYDIN, Fatih TUNÇ

pp. 1 - 7 | DOI: https://doi.org/10.29329/JofBS.2021.348.01 | Manu. Number: MANU-2106-15-0003.R1

Published online: June 29, 2021 | Number of Views: 211 | Number of Download: 530

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Abstract

Forests have been constantly growing with their dynamic structure. In order for this dynamic structure must be managed based on sustainable perspective. Diameter, height, age, stand structure, etc. parameters are used in the inventory stage of the planning. The easiest to measure among these parameters is the diameter. Therefore, the developed models are usually aimed at reaching other forest parameters from the diameter. In this article, 9 different height-diameter models were fitted using regression models, and feed-forward backpropagation artificial neural network model methods for uneven-aged fir (Abies nordmanniana subsp. equi-trojani) stands in Kökez, Bolu region of Turkey. The models compared based on adjusted R², bias, absolute bias, and root mean square error (RMSE). It was observed that the best result was obtained from the artificial neural network model, and the worst result was obtained from the power model.

Keywords: Linear models, Nonlinear models, Artificial Neural Network models (ANN), Height-diameter models, Feed-forward backpropagation ANN

How to Cite this Article?

APA 6th edition
OZKAL, M.K., ATAR, D., AYDIN, M. & TUNC, F. (2021). Comparison of traditional regression models and artificial neural network models for height-diameter modeling in uneven-aged fir stands . Journal of Biometry Studies, 1(1), 1-7. doi: 10.29329/JofBS.2021.348.01

Harvard
OZKAL, M., ATAR, D., AYDIN, M. and TUNC, F. (2021). Comparison of traditional regression models and artificial neural network models for height-diameter modeling in uneven-aged fir stands . Journal of Biometry Studies, 1(1), pp. 1-7.

Chicago 16th edition
OZKAL, Mustafa Kagan, Davut ATAR, Mehmet AYDIN and Fatih TUNC (2021). "Comparison of traditional regression models and artificial neural network models for height-diameter modeling in uneven-aged fir stands ". Journal of Biometry Studies 1 (1):1-7. doi:10.29329/JofBS.2021.348.01.

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