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Analysis of the oil content of rapeseed using artificial neural networks based on near infrared spectral data
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نویسنده
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yang d. ,li h. ,cao c. ,chen f. ,zhou y. ,xiu z.
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منبع
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journal of spectroscopy - 2014 - دوره : 2014 - شماره : 0
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چکیده
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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 the most 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. © 2014 dazuo yang et al.
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آدرس
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key laboratory of marine bio-resources restoration and habitat reparation in liaoning province,dalian ocean university,dalian 116023,china,college of life science and technology,dalian university of technology, China, college of chemistry,sichuan university,chengdu, China, key laboratory of marine bio-resources restoration and habitat reparation in liaoning province,dalian ocean university, China, key laboratory of marine bio-resources restoration and habitat reparation in liaoning province,dalian ocean university, China, key laboratory of marine bio-resources restoration and habitat reparation in liaoning province,dalian ocean university, China, college of life science and technology,dalian university of technology, China
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Authors
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