MODELLING RADIAL AND VERTICAL VARIATIONS OF BOLE WOOD DENSITY OF BEECH (FAGUS ORIENTLIS LIPSKY) IN THE CASPIAN FORESTS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE

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VAHEDI A.A.; MATAJI A.; FARAJI F.

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Journal: Iranian journal of Forest Year:2015 | Volume:6 | Issue:4 Page(s): 483-498

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Title

MODELLING RADIAL AND VERTICAL VARIATIONS OF BOLE WOOD DENSITY OF BEECH (FAGUS ORIENTLIS LIPSKY) IN THE CASPIAN FORESTS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE

Author(s)

VAHEDI A.A. | MATAJI A. | FARAJI F. | Issue Writer Certificate

Keywords

ARTIFICIAL INTELLIGENCEQ2

CARBON SEQUESTRATIONQ2

TOPOLOGYQ2

TRANSFER FUNCTIONQ2

WOOD DENSITYQ2

Abstract

Wood density is the most prominent variable that reflects aspects related to the history and evolution of biomass production, of carbon stock and of succession state of the area. In order to develop the WOOD DENSITY modeling, a long disk was taken at different height levels (at 5%, 35% and 65% of total tree height) of beech trees (F. orientalis) which were cut in compartment 26 located in the 3th district of Hajikola-Tirankoli forests of Sari in winter 2013. From each disk, specimens (2´2´2 cm3) were cut at three distances from the pith (10%, 50% and 90% of the radius length) and oven-dried at 105oC for 24 hours. After WOOD DENSITY calculation, the results of ANOVA showed that the radial and vertical variations of studied variable are not significantly different. All variables of WOOD DENSITY along with the bole were simulated based on the biophysical inputs through the neural network of feed forward back propagation (FFBP). In this study, all models including different TOPOLOGY with non-linear TRANSFER FUNCTION of Logsig were introduced. The result of modeling showed that the model consisting of crown diameter to diameter at breast height (DBH) ratio, DBH, surrogate of tree volume and slenderness ratio with TOPOLOGY of three hidden layers and twenty neurons with least mean squared error of test, was the best model to predict WOOD DENSITY (R2=0.75; S=0.07).

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APA: Copy

VAHEDI, A.A., MATAJI, A., & FARAJI, F.. (2015). MODELLING RADIAL AND VERTICAL VARIATIONS OF BOLE WOOD DENSITY OF BEECH (FAGUS ORIENTLIS LIPSKY) IN THE CASPIAN FORESTS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE. IRANIAN JOURNAL OF FOREST, 6(4), 483-498. SID. https://sid.ir/paper/123139/en

Vancouver: Copy

VAHEDI A.A., MATAJI A., FARAJI F.. MODELLING RADIAL AND VERTICAL VARIATIONS OF BOLE WOOD DENSITY OF BEECH (FAGUS ORIENTLIS LIPSKY) IN THE CASPIAN FORESTS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE. IRANIAN JOURNAL OF FOREST[Internet]. 2015;6(4):483-498. Available from: https://sid.ir/paper/123139/en

IEEE: Copy

A.A. VAHEDI, A. MATAJI, and F. FARAJI, “MODELLING RADIAL AND VERTICAL VARIATIONS OF BOLE WOOD DENSITY OF BEECH (FAGUS ORIENTLIS LIPSKY) IN THE CASPIAN FORESTS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE,” IRANIAN JOURNAL OF FOREST, vol. 6, no. 4, pp. 483–498, 2015, [Online]. Available: https://sid.ir/paper/123139/en

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