id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-23350	Gezer, Engin Derya; Birinci, Abdullah Uğur; Demir, Aydın; Öztürk, Hasan; İlhan, Okan; Demirkir, Cenk	Determining the Optimum Layer Combination for Cross-Laminated Timber Panels According to Timber Strength Classes Using Artificial Neural Networks	2024	20	.pdf	application/pdf	7061	354	58	Determining the Optimum Layer Combination for Cross- Laminated Timber Panels According to Timber Strength Classes Using Artificial Neural Networks Engin Derya Gezer,a,* Abdullah Uğur Birinci,a Aydın Demir,a Hasan Öztürk,b,c Okan İlhan,a and Cenk Demirkir a,c The primary aim of this work was to determine the effects of production parameters, such as wood species and timber strength classes, on some mechanical properties of cross-laminated timber (CLT) panels using artificial neural network (ANN) prediction models. Subsequently, using the models obtained from the analyses, the goal was to identify the optimum layer combinations of timber strength classes used in the middle and outer layers that would provide the highest mechanical properties for CLT panels.	cache/brj-23350.pdf	txt/brj-23350.txt