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武汉大学 [5]
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期刊论文 [12]
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Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau
期刊论文
CATENA, 2021, 卷号: 207, 页码: 12
作者:
Zhang, Xuanchang
;
Li, Yurui
;
Liu, Yansui
;
Huang, Yunxin
;
Wang, Yongsheng
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/11/05
Artificial slope instability
Gully Land Consolidation project
Back Propagation Neural Network (BPNN)
Gutun watershed
Knowledge-driven business model innovation through the introduction of equity investment: evidence from China's primary market
期刊论文
JOURNAL OF KNOWLEDGE MANAGEMENT, 2020, 页码: 18
作者:
Zheng, Jiali
;
Qiao, Han
;
Zhu, Xiumei
;
Wang, Shouyang
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  |  
浏览/下载:19/0
  |  
提交时间:2020/09/23
Business model innovation
Equity investment
China's primary market
Logistic regression
Back propagation neural network (BPNN)
Improved Social Emotion Optimization Algorithm for Short-Term Traffic Flow Forecasting Based on Back-Propagation Neural Network
期刊论文
Journal of Shanghai Jiaotong University (Science), 2019, 卷号: Vol.24 No.2, 页码: 209-219
作者:
Zhang, J.
;
Zhao, S.
;
Wang, Y.
;
Zhu, X.
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  |  
浏览/下载:4/0
  |  
提交时间:2019/11/21
A
back-propagation neural network (BPNN)
Metropolis rule
short-term traffic flow forecasting
social emotion optimization algorithm (SEOA)
TP 183
urban traffic
Inversion Detection Method for Resistivity of Oil-Immersed Paper in Transformer
期刊论文
IEEE TRANSACTIONS ON POWER DELIVERY, 2019, 卷号: 34, 期号: 4
作者:
Xie, Yiming
;
Ruan, Jiangjun
;
Shi, Yu
;
Jin, Shuo
;
Tian, Yu
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  |  
浏览/下载:48/0
  |  
提交时间:2019/12/05
Resistivity
oil-immersed paper
transformer
inversion
back propagation neural network (BPNN)
Strength prediction of similar materials to ionic rare earth ores based on orthogonal test and back propagation neural network
期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 19, 页码: 9429-9437
作者:
Zhong, Wen
;
Deng, Yunchuan
;
Tenreiro Machado, J. A.
;
Zhang, Chao
;
Zhao, Kui
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  |  
浏览/下载:28/0
  |  
提交时间:2020/04/08
Back propagation neural network (BPNN)
Orthogonal test
Ionic rare earth (IRE)
Similar materials (SM)
Strength prediction
A hybrid just-in-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end
期刊论文
Journal of Process Control, 2017, 卷号: 54, 页码: 14-24
作者:
Chen, Xiaoxia
;
Chen, Xin*
;
She, Jinhua
;
Wu, Min
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Carbon efficiency
Iron ore sintering process
Multitask learning
Just-in-time learning
Back-propagation neural network (BPNN)
Fuzzy c-means (FCM) clustering
A Novel Approach to Subpixel Land-Cover Change Detection Based on a Supervised Back-Propagation Neural Network for Remotely Sensed Images With Different Resolutions
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 10
作者:
Wu, Ke
;
Zhong, Yanfei
;
Wang, Xianmin
;
Sun, Weiwei
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Back-propagation neural network (BPNN)
change detection
soft classification (SC)
subpixel mapping (SPM)
Evaluation of Multiple Downscaled Microwave Soil Moisture Products over the Central Tibetan Plateau
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 5
作者:
Jiang, Hongtao
;
Shen, Huanfeng
;
Li, Huifang
;
Lei, Fangni
;
Gan, Wenxia
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
evaluation
downscaling
back-propagation neural network (BPNN)
passive microwave soil moisture products
Modeling and optimization method featuring multiple operating modes for improving carbon efficiency of iron ore sintering process
期刊论文
Control Engineering Practice, 2016, 卷号: 54, 期号: Volume 54, 页码: 117-128
作者:
Chen, Xin
;
Chen, Xiaoxia
;
Wu, Min*
;
She, Jinhua
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/03
Back-propagation neural network (BPNN)
Carbon efficiency
Industrial-process modeling
Industrial-process optimization
K-means clustering
Particle swarm optimization (PSO)
Landslide susceptibility mapping using rough sets and back-propagation neural networks in the Three Gorges, China
期刊论文
ENVIRONMENTAL EARTH SCIENCES, 2013, 卷号: 70, 期号: 3
作者:
Wu, Xueling
;
Niu, Ruiqing
;
Ren, Fu
;
Peng, Ling
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Landslide
Susceptibility
Rough set
Back-propagation neural network (BPNN)
Three Gorges
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