Výsledky vyhledávání - "İlker Ercanlı"

Akademický článek

Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

Autor: İlker Ercanlı

Publikováno v: Forest Ecosystems, Vol 7, Iss 1, Pp 1-18 (2020)

Abstract Background Deep Learning Algorithms (DLA) have become prominent as an application of Artificial Intelligence (AI) Techniques since 2010. This paper introduces the DLA to predict the relationships between individual tree height (ITH) and the

Externí odkaz: https://doaj.org/article/be975e05c5d94488af4bb0e73bb633ce

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Akademický článek

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

Autor: İlker Ercanlı, Alkan Günlü, Muammer Şenyurt, Sedat Keleş

Publikováno v: Forest Ecosystems, Vol 5, Iss 1, Pp 1-12 (2018)

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

Externí odkaz: https://doaj.org/article/939a8610490f4ac1995c62c772141853

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Akademický článek

Deep learning algorithms for addressing overfitting and biological realism in tree taper and volume predictions.

Autor: Ercanlı, İlker¹ (AUTHOR) ilkerercanli@karatekin.edu.tr

Publikováno v: Canadian Journal of Forest Research. 2024, Vol. 54 Issue 12, p1500-1518. 19p.

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CLASSICAL BIOMASS ESTIMATION METHODS AND NEW APPROACHES

Autor: Oytun Emre Sakıcı, İlker Ercanlı, Aydın Kahriman

Publikováno v: Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi, Vol 5, Iss 2, Pp 165-171 (2004)

In this study, classical methods used to estimate biomass of forest stands the base of biological energy resources, and remote sensing methods on which many study have been done recently were explained. Furthermore, these methods were compared. It wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doajarticles::2206b84bf7af1a0323cf116f57c39dc4
http://ofd.artvin.edu.tr/issue/2254/29699

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