Moisture prediction of timber for durability applications using data-driven modelling
Durability and service life assessment is a major challenge for the design and use of timber in outdoor weather exposed environments. Rate of deterioration by fungal decay is closely linked to variations in wood moisture content. The objective of the present paper is to test and evaluate different data-driven models based on the multilinear regression (MLR) and artificial neural network (ANN) appr