激光与光电子学进展, 2018, 55 (1): 013006, 网络出版: 2018-09-10   

改进的修剪随机森林算法在烟叶近红外光谱产地识别中的应用研究 下载: 1063次

Application of Improved Random Forest Pruning Algorithm in Tobacco Origin Identification of Near Infrared Spectrum
作者单位
中国海洋大学信息科学与工程学院, 山东 青岛 266100
引用该论文

孔清清, 丁香乾, 宫会丽. 改进的修剪随机森林算法在烟叶近红外光谱产地识别中的应用研究[J]. 激光与光电子学进展, 2018, 55(1): 013006.

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): 013006.

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孔清清, 丁香乾, 宫会丽. 改进的修剪随机森林算法在烟叶近红外光谱产地识别中的应用研究[J]. 激光与光电子学进展, 2018, 55(1): 013006. 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): 013006.

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