Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

Abstract Background Leaf Area Index (LAI) is an important parameter used in monitoring and modeling of forest ecosystems. The aim of this study was to evaluate performance of the artificial neural network (ANN) models to predict the LAI by comparing the regression analysis models as the classical me...

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Bibliographic Details
Main Authors: İlker Ercanlı, Alkan Günlü, Muammer Şenyurt, Sedat Keleş
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:Forest Ecosystems
Subjects:
Leaf area index
Multivariate linear regression model
Artificial neural network modeling
Crimean pine
Stand parameters
Online Access:http://link.springer.com/article/10.1186/s40663-018-0149-8

Internet

http://link.springer.com/article/10.1186/s40663-018-0149-8

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