登录
×
用户名/邮箱
密码
验证码:
换一张
Stay signed in
Forgotten Password?
Log In
×
Log In By KMS
Chinese
|
English
Subscribe to the Website's RSS
Subscribe to the Website's Atom Feeds
Log In By IDS
|
Log In By KMS
|
Register
ALL
ORCID
Title
Creator
Subject Area
Keyword
Funding Project
Document Type
Source Publication
Indexed By
Date Issued
Date Accessioned
Publisher
MOST Discipline Catalogue
Original Document Type
Creator
Study Hall
Image search
Paste the image URL
Home
(current)
Collections
Authors
DocType
Subjects
K-Map
News
Search in the results
搜索
Collection
College of Ear... [2]
Authors
Gong Jie [1]
Fulltext
No [2]
Document Type
Journal articl... [2]
Date Issued
2017 [1]
2016 [1]
Language
中文 [1]
英语 [1]
Source Publication
International ... [1]
自然资源学报 [1]
Funding Project
国家自然科学基金项目 [1]
Indexed By
CSCD [1]
CSSCI [1]
EI [1]
SCIE [1]
Funding Organization
MOE [1]
MOST [1]
NSFC [1]
First Inst
No [2]
Publisher
TAYLOR & FRANC... [1]
First Author Affilication
兰州大学 [1]
数学与统计学院 [1]
Knowledge Map
×
兰州大学机构库
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-2 of 2
Help
Filters
None:否
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Submit date Ascending
Submit date Descending
Title Ascending
Title Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Issue Date Ascending
Issue Date Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Author Ascending
Author Descending
基于InVEST模型的白龙江流域水源供给服务时空分异
期刊论文
自然资源学报, 2017, 卷号: 32, 期号: 8, 页码: 1337-1347
Authors:
谢余初
;
巩杰
;
齐姗姗
;
吴婧
;
胡宝清
Favorite
  |  
  
Submit date:2018/05/24
水源供给功能
InVEST模型
生态系统服务
白龙江流域
Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm
期刊论文
International Journal of Green Energy, 2016, 卷号: 13, 期号: 11, 页码: 1145-1162
Authors:
Wu, Jie
;
Wang, Jianzhou
;
Qin, Shanshan
;
Lu, Haiyan
Favorite
  |  
  
Submit date:2017/01/16
Anomalous value
K-means clustering algorithm
parameter optimization
wind energy
wind power classification