Iranian Journal of Forest and Poplar Research

Author = Bayat, Mahmoud

Applicability of artificial neural network for estimating the forest growing stock

Volume 24, Issue 2, June 2016, Pages 226-214

10.22092/ijfpr.2016.106985

Mahmoud Bayat; Manouchehr Namiranian; Mahmoud Omid; Arman Rashidi; Sajjad Babaei

Growth and yield models for uneven – aged and mixed broadleaf forest (Case study: Gorazbon District in Kheyroud Forest, North of Iran)

Volume 22, Issue 1, April 2014, Pages 39-50

10.22092/ijfpr.2013.9046

Mahmoud Bayat; Manouchehr Namiranian; Mahmoud Zobeiri; Mahmoud Omid; Timo Pukkala

Determining growth increment and density of trees in forest, using permanent sample plots (Case study: Gorazbon district of Kheyroud Forest)

Volume 21, Issue 3, December 2013, Pages 424-438

10.22092/ijfpr.2014.4723

Mahmoud Bayat; Manouchehr Namiranian; Mahmoud Zobeiri; Jafar Fathi

Prediction commercial and cordwood volume of broadleaves using Artificial Neural Networks (Case study: Gorazbon distric of Kheyrood forest, Nowshahr)

Volume 25, Issue 3, January 0, Pages 517-527

10.22092/ijfpr.2017.112886

Fatemeh Gorzin; Manouchehr Namiranian; Mahmoud Omid; Mahmoud Bayat

Iranian Journal of Forest and Poplar Research

Journal Archive

Volume 31 (2023)

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