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山东大学 [5]
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期刊论文 [19]
会议论文 [6]
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Crude oil price analysis and forecasting: A perspective of "new triangle"
期刊论文
ENERGY ECONOMICS, 2020, 卷号: 87, 页码: 14
作者:
Lu, Quanying
;
Li, Yuze
;
Chai, Jian
;
Wang, Shouyang
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2020/06/30
Crude oil
Dynamic Bayesian structural time series model
Google trend
Kalman filtering
Spike and slab prior
Bayesian model average
Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel–sand mulched jujube orchard
期刊论文
Environmental Monitoring and Assessment, 2019, 卷号: 191, 期号: 6
作者:
Zhao, Wenju
;
Cao, Taohong
;
Li, Zongli
;
Sheng, Jie
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/11/14
Forecasting
Gravel
Inverse problems
Sand
Soils
Time series
Autoregressive moving average model
Co-Kriging
Inverse distance weighting
Sampling efficiency
Spatial distribution map
Spatial variability
Spatiotemporal variability
Temporal variability
Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China
期刊论文
2019, 卷号: 98, 期号: 6
作者:
Zou, Jiao-Jiao
;
Jiang, Gao-Feng
;
Xie, Xiao-Xu
;
Huang, Juan
;
Yang, Xiao-Bing
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/01/03
hand-foot-mouth disease
incidence
prediction
seasonal autoregressive integrated moving average model
support vector regression model
time series analysis
Hybrid SVM and ARIMA Model for failure time series prediction based on EEMD
期刊论文
International Journal of Performability Engineering, 2019, 卷号: 15, 页码: 1161-1170
作者:
Sun, Haiyan
;
Wu, Jing
;
Wu, Ji
;
Yang, Haiyan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Data handling
Linear regression
Support vector machines
Time series
Auto-regressive integrated moving average
Ensemble empirical mode decomposition
Failure time
Hybrid model
Support vector machines regression
Forecasting
Analysis of the effective observation of ocean color satellites of the yellow and east China seas
期刊论文
Remote Sensing Letters, 2018, 卷号: 9, 期号: 7, 页码: 656-665
作者:
Yanfang, Xiao
;
Jie, Zhang
;
Tingwei, Cui
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2018/12/07
Average numbers
Kuroshio current
Long time series
Northern Yellow Sea
Ocean color products
Ocean-color satellites
Seasonal characteristics
Spatial and temporal distribution
Particle Filter Based Time Series Prediction of Daily Sales of an Online Retailer
会议论文
作者:
Ping, Xueye
;
Chen, Qinyi
;
Liu, Guoquan
;
Su, Jionglong
;
Ma, Fei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
autoregressive model
sales prediction
time series
autoregressive integrated moving average model
particle filter
Research on Smoothing Filtering Algorithm of BDS/GPS Slow Deformation Monitoring Sequence
会议论文
9th China Satellite Navigation Conference (CSNC) - Location, Time of Augmentation, MAY 23-25, 2018
作者:
Ren, Lei
;
Xu, Tian-He
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
Slow deformation monitoring sequence
Smoothing filtering
Robust moving
average
Time series
Research on smoothing filtering algorithm of BDS/GPS slow deformation monitoring sequence
会议论文
第九届中国卫星导航学术年会
作者:
Lei REN
;
Tian-He XU
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/31
Slow deformation monitoring sequence
Smoothing filtering
Robust moving average
time series
Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning
期刊论文
SYMMETRY-BASEL, 2017, 卷号: 9
作者:
Afolabi, David
;
Guan, Sheng-Uei
;
Man, Ka Lok
;
Wong, Prudence W. H.
;
Zhao, Xuan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/26
long short-term memory
interference-less machine learning
empirical mode decomposition
meta-learning
time series forecasting
moving average
noise reduction
nonlinear autoregressive neural network
component trends
Short-Term Forecasting of Hospital Discharge Volume based on Time Series Analysis
期刊论文
2017 IEEE 19TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM), 2017
作者:
Luo, L
;
Xu, XR
;
Li, JL
;
Shen, WW
;
IEEE
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/02/25
Hospital bed resources
Time series analysis
Autoregressive Integrated Moving Average Model
Long Short-Term Memory model
Random Forests
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