Modeling of ash (Fraxinus excelsior) bark thickness in urban forests using artificial neural network (ANN) and regression models-Reference-Cited by-同舟云学术

Modeling of ash (Fraxinus excelsior) bark thickness in urban forests using artificial neural network (ANN) and regression models

Published:2020-09-22 Issue:3 Volume:7 Page:1443-1452
ISSN:2363-6203
Container-title:Modeling Earth Systems and Environment
language:en
Short-container-title:Model. Earth Syst. Environ.

Author:

Mosaffaei Zahra,Jahani Ali^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s40808-020-00869-9.pdf

Reference51 articles.

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3. Bayat M, Namiranian M, Zobeiri M, Fathi J (2014) Determining growth increment and density of trees in forest, using permanent sample plts (case study: Gorazbon district of Kheyroud Forest). Iran J For Popul Res 21(3):424–438

4. Bonyad AE (1989) Study on bark volume of Fagus orientalis Lipsky in the Asalem forest area. Internal Report. Iran For Range Organ 39(3):122–137

5. Cellini JM, Galarza M, Burns SL, Martinez-Pastur GJ, Lencinas MV (2012) Equations of bark thickness and volume profiles at different heights with easy measurements variables. Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria For Syst 21(1):23–30 (ISSN: 2171-5068, eISSN: 2171-9845)

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