In this study, the drying rate of poplar, pine, and oak timbers is estimated using an adaptive neuro-fuzzy inference system (ANFIS). Experimental data were used for training and testing networks. The R
2 value obtained when unknown data were applied to the networks
was 0.99982 for the drying rate of poplar timbers, 0.999028 for the drying rate of pine timbers, and 0.999968 for the drying rate of oak timbers, which is very satisfactory. The method proposed offers more flexibility and therefore drying analysis of different timber kinds is fairly simplified.
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Document Type: Research Article
Technology Faculty, Süleyman Demirel University, Isparta, Turkey
Istanbul Aydın University, Anadolu Bil Vocational School of Higher Education, Mechanical Programme, Istanbul, Turkey
April 17, 2016