Study on the identifying of meat's visible spectrum based on BP artificial neural network

Xiaotian Li; Tieqiang Zhang; Bo Li; Yongheng Jiang; Binghui Liu; Zhaokai Li

doi:10.1117/12.668632

20 January 2006 Study on the identifying of meat's visible spectrum based on BP artificial neural network

Xiaotian Li, Tieqiang Zhang, Bo Li, Yongheng Jiang, Binghui Liu, Zhaokai Li

Proceedings Volume 6027, ICO20: Optical Information Processing; 60274Z (2006) https://doi.org/10.1117/12.668632
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

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%.

Citation Download Citation

Xiaotian Li, Tieqiang Zhang, Bo Li, Yongheng Jiang, Binghui Liu, and Zhaokai Li "Study on the identifying of meat's visible spectrum based on BP artificial neural network", Proc. SPIE 6027, ICO20: Optical Information Processing, 60274Z (20 January 2006); https://doi.org/10.1117/12.668632

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