Acta Photonica Sinica, Volume. 45, Issue 5, 530001(2016)
Recognition of Transgenic Soybeans Based on Terahertz Spectroscopy and PCA-BPN Network
An approach for recognition of transgenic soybeans was proposed based on spectral analysis in the terahertz (THz) range combing with Principle Component Analysis (PCA) and Back Propagation Neural (BPN) network. Eight principal component factors, whose accumulated variance reached 97.582%, were extracted from the original spectra data and then fed as inputs into the BPN network model. The utilization of the dimension-reduced data in training the network model can recognize the validation set accurately. The nondestructive testing of transgenic soybeans could be achieved by using THz spectroscopy, which could be widely applied in agricultural security areas.
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NIE Jun-yang, ZHANG Wen-tao, XIONG Xian-ming, CHEN Tao, ZHAN Ping-ping, TU Shan. Recognition of Transgenic Soybeans Based on Terahertz Spectroscopy and PCA-BPN Network[J]. Acta Photonica Sinica, 2016, 45(5): 530001
Received: Dec. 21, 2015
Accepted: --
Published Online: Jun. 6, 2016
The Author Email: Jun-yang NIE (njyang@live.com)