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Determination of drying rates of different timber kinds

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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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Keywords: Drying; drying rate; neuro-fuzzy; oak; pine; poplar; timber

Document Type: Research Article

Affiliations: 1: Technology Faculty, Süleyman Demirel University, Isparta, Turkey 2: Istanbul Aydın University, Anadolu Bil Vocational School of Higher Education, Mechanical Programme, Istanbul, Turkey

Publication date: April 17, 2016

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