DETERMINING THE OPTIMUM LAYER COMBINATION FOR CROSS-LAMINATED TIMBER PANELS ACCORDING TO TIMBER STRENGTH CLASSES USING ARTIFICIAL NEURAL NETWORKS

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 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 cli

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Time consumption and productivity of skidding Silver fir (Abies alba Mill.) round wood in reduced accessibility conditions: a case study in windthrow salvage logging form Romanian Carpathians

Natural calamities (especially windthrows) may generate difficult work conditions in timber harvesting operations.When associated with the reduced accessibility conditions, the work conditions become even harder.This study investigates the time consumptions on specific work elements in timber skidding, develops time prediction models for timber ski

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