Wood classification study based on thermal physical parameters with intelligent method of artificial neural networks

نویسندگان

چکیده

In this study, 65 kinds of wood samples were classified by using artificial neural networks based on the measured value thermal physical parameters. First, conductivities and diffusion coefficients measured. The transient temperature rise curve during test process was recorded, characteristic values extracted logarithmic fitting. emissivity spectrum representing properties surface measured, spectral data selected according to principal component analysis. An network model established feature classify species. experimental results showed that comprehensive correct classification rate proposed method 99.85%. addition, compared with a laser induced breakdown near infrared spectrum, which indicates feasibility properties.

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ژورنال

عنوان ژورنال: Bioresources

سال: 2022

ISSN: ['1930-2126']

DOI: https://doi.org/10.15376/biores.17.1.1187-1204