机构

• 地理科学与资源研究所 [4]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [6]

发表日期

• 2022 [4]
• 2020 [2]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees   Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees   Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：48/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees   Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees   Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279 作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris   |  收藏  |  浏览/下载：51/0  |  提交时间：2020/10/23 Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction   A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy 期刊论文  OAI收割 PLASMA SCIENCE & TECHNOLOGY, 2020, 卷号: 22, 期号: 7, 页码: 1-10 作者:  Wang GD(王国栋);  Sun LX(孙兰香);  Wang W(汪为);  Chen T(陈彤);  Guo MT(郭美亭)   |  收藏  |  浏览/下载：13/0  |  提交时间：2020/04/11 laser-induced breakdown spectroscopy  feature selection  ridge regression  recursive feature elimination  quantitative analysis