A comparison of artificial neural networks and regression modeling techniques for predicting dominant heights of Oriental spruce in a mixed stand

A comparison of artificial neural networks and regression modeling techniques for predicting dominant heights of Oriental spruce in a mixed stand

Aim of study: This paper introduces comparative evaluations of artificial neural network models and regression modeling techniques based on some fitting statistics and desirable characteristics for predicting dominant height. Area of study: The data of this study were obtained from Oriental spru...

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Bibliographic Details
Main Authors: Ilker ERCANLI, Ferhat BOLAT, Hakkı YAVUZ
Format: Article
Language:English
Published: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria 2023-02-01
Series:Forest Systems
Subjects:
dominant height
mixed-effects
dummy variable
machine learning
growth curve
biological interpretation
Online Access:https://revistas.inia.es/index.php/fs/article/view/19134

Internet

https://revistas.inia.es/index.php/fs/article/view/19134

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