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论文类型：期刊论文

发表时间：2014-01-01

发表刊物：JOURNAL OF SPECTROSCOPY

收录刊物：SCIE、EI、Scopus

卷号：2014

ISSN号：2314-4920

摘要：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.