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寒区旱区环境与工程... [11]
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期刊论文 [11]
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2019 [1]
2018 [3]
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专题:寒区旱区环境与工程研究所
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Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 167-184
作者:
Wen, Xiaohu
;
Feng, Qi
;
Deo, Ravinesh C.
;
Wu, Min
;
Yin, Zhenliang
收藏
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浏览/下载:82/0
  |  
提交时间:2019/10/08
Expert system
Runoff
Integrated model
Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)
Variational mode decomposition (VMD)
Extreme learning machine (ELM)
Leaf Recognition Based on DPCNN and BOW
期刊论文
NEURAL PROCESSING LETTERS, 2018, 卷号: 47, 期号: 1, 页码: 99-115
作者:
Wang, Zhaobin
;
Sun, Xiaoguang
;
Yang, Zekun
;
Zhang, Yaonan
;
Zhu, Ying
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2019/10/09
Feature extraction
Plant recognition
SVM
DPCNN
BOW
Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China
期刊论文
WATER RESOURCES MANAGEMENT, 2018, 卷号: 32, 期号: 1, 页码: 301-323
作者:
Yu, Haijiao
;
Wen, Xiaohu
;
Feng, Qi
;
Deo, Ravinesh C.
;
Si, Jianhua
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2019/10/09
Discrete wavelet transform
Artificial neural network
Support vector regression
Groundwater level fluctuations
Extreme arid regions
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
期刊论文
ADVANCED ENGINEERING INFORMATICS, 2018, 卷号: 35, 页码: 1-16
作者:
Al-Musaylh, Mohanad S.
;
Deo, Ravinesh C.
;
Adarnowski, Jan F.
;
Li, Yan
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/10/09
Electricity demand forecasting
Machine learning
SVR
MARS
ARIMA
Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China
期刊论文
WATER, 2017, 卷号: 9, 期号: 11, 页码: 23
作者:
Yin, Zhenliang
;
Feng, Qi
;
Yang, Linshan
;
Deo, Ravinesh C.
;
Wen, Xiaohu
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2019/10/09
reference evapotranspiration (ET0)
extreme-learning machine
support vector regression
ET0 projection
climate change
Model Parameter Optimization Method Research in Heihe River Open Modeling Environment (HOME)
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2017, 卷号: 31, 期号: 9, 页码: 22
作者:
Huo, Jiuyuan
;
Zhang, Yaonan
;
Luo, Lihui
;
Long, Yinping
;
He, Zhengfang
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/10/09
Hydrological models
parameter estimation
HOME
Xinanjiang model
ORABC
A New Hybrid Forecasting Approach Applied to Hydrological Data: A Case Study on Precipitation in Northwestern China
期刊论文
WATER, 2016, 卷号: 8, 期号: 9, 页码: 15
作者:
Jiao, Guimei
;
Guo, Tianlin
;
Ding, Yongjian
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  |  
浏览/下载:39/0
  |  
提交时间:2019/10/09
ensemble empirical mode decomposition
radial basis function neural networks
support vector machine
hybrid approach
precipitation prediction
Leaf recognition based on PCNN
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2016, 卷号: 27, 期号: 4, 页码: 899-908
作者:
Wang, Zhaobin
;
Sun, Xiaoguang
;
Zhang, Yaonan
;
Ying, Zhu
;
Ma, Yide
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2019/10/09
Feature extraction
Image processing
Plant recognition
PCNN
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
期刊论文
APPLIED ENERGY, 2016, 卷号: 168, 页码: 568-593
作者:
Deo, Ravinesh C.
;
Wen, Xiaohu
;
Qi, Feng
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/10/09
Solar energy model
Wavelet-coupled model
Support vector machines
Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer
期刊论文
Neural computing & applications, 2015, 卷号: 26, 期号: 5, 页码: 1203-1215
作者:
Wen, Xiaohu
;
Feng, Qi
;
Yu, Haijiao
;
Wu, Jun
;
Si, Jianhua
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/09/04
Discrete wavelet transform
Adaptive neuro-fuzzy inference system
Groundwater level
Coastal aquifer
Prediction
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