激光与光电子学进展, 2017, 54 (10): 103001, 网络出版: 2017-10-09   

基于二分搜索结合修剪随机森林的特征选择算法在近红外光谱分类中的应用 下载: 656次

Feature Selection Algorithm Application in Near-Infrared Spectroscopy Classification Based on Binary Search Combined with Random Forest Pruning
作者单位
1 中国海洋大学信息科学与工程学院, 山东 青岛 266100
2 云南中烟工业有限责任公司技术中心, 云南 昆明 650024
引用该论文

刘明, 李忠任, 张海涛, 于春霞, 唐兴宏, 丁香乾. 基于二分搜索结合修剪随机森林的特征选择算法在近红外光谱分类中的应用[J]. 激光与光电子学进展, 2017, 54(10): 103001.

Liu Ming, Li Zhongren, Zhang Haitao, Yu Chunxia, Tang Xinghong, Ding Xiangqian. Feature Selection Algorithm Application in Near-Infrared Spectroscopy Classification Based on Binary Search Combined with Random Forest Pruning[J]. Laser & Optoelectronics Progress, 2017, 54(10): 103001.

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刘明, 李忠任, 张海涛, 于春霞, 唐兴宏, 丁香乾. 基于二分搜索结合修剪随机森林的特征选择算法在近红外光谱分类中的应用[J]. 激光与光电子学进展, 2017, 54(10): 103001. Liu Ming, Li Zhongren, Zhang Haitao, Yu Chunxia, Tang Xinghong, Ding Xiangqian. Feature Selection Algorithm Application in Near-Infrared Spectroscopy Classification Based on Binary Search Combined with Random Forest Pruning[J]. Laser & Optoelectronics Progress, 2017, 54(10): 103001.

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