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Proceedings Paper

Study on the identifying of meat's visible spectrum based on BP artificial neural network
Author(s): Xiaotian Li; Tieqiang Zhang; Bo Li; Yongheng Jiang; Binghui Liu; Zhaokai Li
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Paper Abstract

A method to identify different meat by the visible and reflected spectra of meat with BP artificial neural net (BP-ANN) was introduced in this paper. The visible and reflected spectra (from 420 to 535nm) of different meat (beef and pork) were measured with fiber sensor spectrometer. A kind of ANN with a double-hidden layer was created to identify the different meat automatically. Its right ratio reaches 92.71%.

Paper Details

Date Published: 20 January 2006
PDF: 5 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60274Z (20 January 2006); doi: 10.1117/12.668632
Show Author Affiliations
Xiaotian Li, Jilin Univ. (China)
Tieqiang Zhang, Jilin Univ. (China)
Bo Li, Jilin Univ. (China)
Yongheng Jiang, Jilin Univ. (China)
Binghui Liu, Jilin Univ. (China)
Zhaokai Li, Jilin Univ. (China)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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