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Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 1 >Page 13006 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 1, 13006 (2018)

Application of Improved Random Forest Pruning Algorithm in Tobacco Origin Identification of Near Infrared Spectrum

Kong Qingqing, Ding Xiangqian, and Gong Huili^*

Author Affiliations

College of Information Science and Engineering, Ocean University of China, Qingdao, Shandong 266100, China

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DOI: 10.3788/LOP55.013006 Cite this Article Set citation alerts

Kong Qingqing, Ding Xiangqian, Gong Huili. Application of Improved Random Forest Pruning Algorithm in Tobacco Origin Identification of Near Infrared Spectrum[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13006 Copy Citation Text

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Kong Qingqing, Ding Xiangqian, Gong Huili. Application of Improved Random Forest Pruning Algorithm in Tobacco Origin Identification of Near Infrared Spectrum[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13006

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