光谱学与光谱分析, 2019, 39 (3): 717, 网络出版: 2019-03-19
特征分层结合改进粒子群算法的近红外光谱特征选择方法研究
Study on Feature Selection of Near Infrared Spectra Based on Feature Hierarchical Combining Improved Particle Swarm Optimization
基本信息
DOI: | 10.3964/j.issn.1000-0593(2019)03-0717-06 |
中图分类号: | O657.3 |
栏目: | |
项目基金: | 国家重点研发计划项目(2016YFB1001103), 云南中烟工业有限责任公司项目(2017XX02, 2018JC01)资助 |
收稿日期: | 2018-01-18 |
修改稿日期: | 2018-05-11 |
网络出版日期: | 2019-03-19 |
通讯作者: | 徐宝鼎 (xbd991@163.com) |
备注: | -- |
徐宝鼎, 秦玉华, 杨宁, 高锐, 苑程程. 特征分层结合改进粒子群算法的近红外光谱特征选择方法研究[J]. 光谱学与光谱分析, 2019, 39(3): 717. XU Bao-ding, QIN Yu-hua, YANG Ning, GAO Rui, YUAN Cheng-cheng. Study on Feature Selection of Near Infrared Spectra Based on Feature Hierarchical Combining Improved Particle Swarm Optimization[J]. Spectroscopy and Spectral Analysis, 2019, 39(3): 717.