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Indexed by:期刊论文

Date of Publication:2014-01-01

Journal:JOURNAL OF SPECTROSCOPY

Included Journals:SCIE、EI、Scopus

Volume:2014

ISSN No.:2314-4920

Abstract:The oil content of rapeseed is a crucial property in practical applications. In this paper, instead of traditional analytical approaches, an artificial neural network (ANN) method was used to analyze the oil content of 29 rapeseed samples based on near infrared spectral data with different wavelengths. Results show that multilayer feed-forward neural networks with 8 nodes (MLFN-8) are themost suitable and reasonable mathematical model to use, with an RMS error of 0.59. This study indicates that using a nonlinear method is a quick and easy approach to analyze the rapeseed oil's content based on near infrared spectral data.