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科研机构
自动化研究所 [5]
地理科学与资源研究所 [4]
数学与系统科学研究院 [4]
兰州理工大学 [2]
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期刊论文 [25]
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2021 [25]
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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
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Metal prices forecasting
Data processing method
Optimized extreme learning machine
Hybrid forecasting model
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
作者:
Li, Yuze
;
Wang, Shouyang
;
Wei, Yunjie
;
Zhu, Qing
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  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Gold
Forecasting
Autoregressive processes
Predictive models
Signal resolution
Deep learning
Mathematical model
Algorithmic trading
bidirectional gated recurrent unit (BiGRU)
gold futures price forecasting
variational mode decomposition (VMD)
Fine-grained Solar Flare Forecasting Based on the Hybrid Convolutional Neural Networks
期刊论文
ASTROPHYSICAL JOURNAL, 2021, 卷号: 922, 期号: 2
作者:
Deng, Zheng
;
Wang, Feng
;
Deng, Hui
;
Tan, Lei.
;
Deng LH(邓林华)
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  |  
浏览/下载:49/0
  |  
提交时间:2021/12/13
Hybridization of cokriging and gaussian process regression modelling techniques in mapping soil sulphur
期刊论文
CATENA, 2021, 卷号: 206, 页码: 18
作者:
John, Kingsley
;
Agyeman, Prince Chapman
;
Kebonye, Ndiye Michael
;
Isong, Isong Abraham
;
Ayito, Esther O.
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  |  
浏览/下载:193/0
  |  
提交时间:2021/11/05
Soil nutrient distribution
Digital soil mapping
Machine learning
Cokriging
Agricultural productivity
Generative Models for De Novo Drug Design
期刊论文
JOURNAL OF MEDICINAL CHEMISTRY, 2021, 卷号: 64, 期号: 19, 页码: 14011-14027
作者:
Tong, Xiaochu
;
Liu, Xiaohong
;
Tan, Xiaoqin
;
Li, Xutong
;
Jiang, Jiaxin
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  |  
浏览/下载:22/0
  |  
提交时间:2021/12/16
Incorporation of high accuracy surface modeling into machine learning to improve soil organic matter mapping
期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 129, 页码: 13
作者:
Wang, Zong
;
Du, Zhengping
;
Li, Xiaoyan
;
Bao, Zhengyi
;
Zhao, Na
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  |  
浏览/下载:55/0
  |  
提交时间:2021/11/05
Soil organic matter
Dongzhi Loess Tableland
Gradient boosting modeling
Random forest
High accuracy surface modeling
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling
期刊论文
JOURNAL OF CHEMINFORMATICS, 2021, 卷号: 13, 期号: 1, 页码: 17
作者:
Wang, Dingyan
;
Yu, Jie
;
Chen, Lifan
;
Li, Xutong
;
Jiang, Hualiang
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  |  
浏览/下载:61/0
  |  
提交时间:2021/11/04
Uncertainty quantification
Quantitative structure-activity relationship
Bayesian neural network
Applicability domain
Bayesian inference
Error prediction
Artificial intelligence
Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 12
作者:
Gholami, Hamid
;
Mohammadifar, Aliakbar
;
Malakooti, Hossein
;
Esmaeilpour, Yahya
;
Golzari, Shahram
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  |  
浏览/下载:56/0
  |  
提交时间:2021/12/07
Dust spatial mapping
Effective factors
Deep learning
Hybrid copula-gcForest model
Gaussian copula model
Model sensitivity
Central asia
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
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