Prediction of the equilibrium moisture content and specific gravity of thermally modified wood via an Aquila optimization algorithm back-propagation neural network model

The equilibrium moisture content and specific gravity of Uludag fir (Abies bornmüelleriana Mattf.) and hornbeam (Carpinus betulus L.) woods were investigated following heat treatment at different temperatures and times. Two prediction models were established based on the Aquila optimization algorith...

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Bibliographic Details
Published in:	Bioresources Vol. 17; no. 3; pp. 4816 - 4836
Main Authors:	Chen, Yao, Wang, Wei, Li, Ning
Format:	Journal Article
Language:	English
Published:	Raleigh North Carolina State University 01.08.2022
Subjects:	Abies bornmulleriana Accuracy Algorithms Artificial neural networks Back propagation Back propagation networks Carpinus betulus Density Equilibrium Heat Heat treatment Heat treatments Humidity Moisture content Moisture effects Neural networks Neurons Optimization Optimization algorithms Prediction models Process parameters Propagation Search algorithms Specific gravity Temperature Water content
ISSN:	1930-2126, 1930-2126
Online Access:	Get full text
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