×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [6]
数学与系统科学研究院 [4]
地理科学与资源研究所 [3]
计算技术研究所 [2]
成都山地灾害与环境研... [1]
长春光学精密机械与物... [1]
更多...
内容类型
期刊论文 [19]
发表日期
2021 [19]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共19条,第1-10条
帮助
限定条件
发表日期:2021
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
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
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
Paper Flooding and its relationship with land cover change, population growth, and road density
期刊论文
GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 6, 页码: 20
作者:
Rahman, Mahfuzur
;
Ningsheng, Chen
;
Mahmud, Golam Iftekhar
;
Islam, Md Monirul
;
Pourghasemi, Hamid Reza
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/12/13
Hydro-climatic disasters
Machine learning algorithms
Statistical model
Ensemble model
Relative change in flooding areas
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study
期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
作者:
Zhang, Chengyuan
;
Li, Mingchen
;
Sun, Shaolong
;
Tang, Ling
;
Wang, Shouyang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
tourism demand forecasting
decomposition methods
variational mode decomposition
decomposition and ensemble
machine learning
Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods
期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 600, 页码: 18
作者:
Yin, Lichang
;
Tao, Fulu
;
Chen, Yi
;
Liu, Fengshan
;
Hu, Jian
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/11/05
Evapotranspiration
Machine learning
process-based ET
ET integration
China
Gaussian process regression
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:
Zhang, Xinbang
;
Chang, Jianlong
;
Guo, Yiwen
;
Meng, Gaofeng
;
Xiang, Shiming
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/11/02
Computer architecture
Search problems
Optimization
Task analysis
Bridges
Binary codes
Estimation
Neural architecture search(NAS)
ensemble gumbel-softmax
distribution guided sampling
An innovative ensemble learning air pollution early-warning system for China based on incremental extreme learning machine
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 15
作者:
Du, Zongjuan
;
Heng, Jiani
;
Niu, Mingfei
;
Sun, Shaolong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
Air quality early-warning system
Length-changeable incremental extreme
learning machine
Hybrid ensemble model
Fuzzy evaluation
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research
期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:
Wang, Siwen
;
Dong, Di
;
Zhang, Wenjuan
;
Hu, Hui
;
Li, Hailin
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2021/11/02
advanced gastric cancer
Borrmann classification
ensemble learning
multilayer perceptron networks
radiomics
Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16, 页码: 19
作者:
Chen, Dewang
;
Cai, Jijie
;
Huang, Yunhu
;
Lv, Yisheng
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/11/03
interpretability
high-dimensional data
adaptive neuro-fuzzy inference system
deep neural fuzzy system
KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis
期刊论文
NUCLEIC ACIDS RESEARCH, 2021, 卷号: 49, 期号: W1, 页码: W317-W325
作者:
Bu, Dechao
;
Luo, Haitao
;
Huo, Peipei
;
Wang, Zhihao
;
Zhang, Shan
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/12/01
Tourism demand forecasting: An ensemble deep learning approach
期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
作者:
Sun, Shaolong
;
Li, Yanzhao
;
Guo, Ju-e
;
Wang, Shouyang
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2021/10/26
bagging
economic variables
ensemble deep learning
search intensity index
stacked autoencoder
tourism demand forecasting
©版权所有 ©2017 CSpace - Powered by
CSpace