Determining the Optimum Layer Combination for Cross-Laminated Timber Panels According to Timber Strength Classes Using Artificial Neural Networks
The primary aim of this work was to determine the effects of production parameters, such as wood species and timber folk rivet sweat 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