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Short-Term Photovoltaic Power Interval Prediction Based on VMD and GOA-KELM Algorithms
会议论文
Chengdu, China, May 7-10, 2021
作者:
Sun, Wenxuan
;
Wang AN(王安娜)
;
Zhang T(张涛)
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浏览/下载:7/0
  |  
提交时间:2022/04/23
photovoltaic power prediction
variational mode decomposition
grasshopper optimization algorithm
kernel extreme learning machine
interval prediction
Analysis of Criminal Case Judgment Documents Based on Deep Learning
会议论文
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018), 2018-01-01
作者:
Han, Jinbo
;
Li, Dakui
;
Yang, Nanhai
;
Liu, Zhu
;
Nan, Qiong
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  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
convolutional neural network
multiple nuclear convolution
criminal case verdict document
prediction of sentencing interval
A Robust Interval Economic Dispatch Method Accommodating Significant Wind Power Integration
会议论文
作者:
Ma, Honglian
;
Luo, Xianjue
;
Gong, Naiwei
;
Wang, Qi
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  |  
浏览/下载:13/0
  |  
提交时间:2019/11/26
robust optimization
economic dispatch
uncertainty
wind power generation
prediction interval
Data-based Predictive optimization for Byproduct Gas System in Steel Industry
会议论文
2017 13TH IEEE CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2017-01-01
作者:
Zhao, Jun
;
Sheng, Chunyang
;
Wang, Wei
;
Pedrycz, Witold
;
Liu, Quanli
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/03
byproduct gas system
energy optimization
data-based modeling
prediction interval
Research on data acquisition time optimization of bus travel time prediction method
会议论文
2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA), Dalian, PEOPLES R CHINA, 2016-01-01
作者:
Zhao, Huiran
;
Shi, Lei
;
Li, Guangyao
;
Geng, Shidong
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  |  
浏览/下载:1/0
  |  
提交时间:2019/12/09
Time prediction
Interval Optimization
Data acquisition
Reliability prediction of the integrated transmission based on interval AHP and safety factor
会议论文
PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING (ICCMCEE 2015), 2015-01-01
作者:
Du Minggang
;
Sun Xuan
;
Zhang Jianguo
;
Chen Juan
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  |  
浏览/下载:1/0
  |  
提交时间:2020/01/06
interval AHP
safety factor
reliability prediction
Echo state network based prediction intervals estimation for blast furnace gas pipeline pressure in steel industry
会议论文
19th World Congress of the International-Federation-of-Automatic-Control (IFAC), Cape Town, SOUTH AFRICA, 2014-08-24
作者:
Sheng, Chunyang
;
Zhao, Jun
;
Wang, Wei
;
Liu, Quanli
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Echo state network
gas pipeline pressure
prediction interval
Bayesian framework.
A Degredation Interval Prediction Method Based on RBF Neural Network
会议论文
10th International Conference on Reliability Maintainability and Safety, Chinese Institute of Electronics, Guangzhou, PEOPLES R CHINA, 2014-08-06
作者:
Zhang, Xiankun
;
Sun, Fuqiang
;
Li, Xiaoyang
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  |  
浏览/下载:2/0
  |  
提交时间:2020/01/06
RUL prediction
performance degradation
RBF neural network
interval prediction
A Degredation Interval Prediction Method Based on RBF Neural Network
会议论文
PROCEEDINGS OF 2014 10TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY (ICRMS), VOLS I AND II, 2014-01-01
作者:
Zhang, Xiankun
;
Sun, Fuqiang
;
Li, Xiaoyang
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  |  
浏览/下载:1/0
  |  
提交时间:2020/01/06
RUL prediction
performance degradation
RBF neural network
interval prediction
Reagentless near-infrared determination of cholesterol in undiluted human serum using interval partial least square (EI CONFERENCE)
会议论文
2011 International Conference on Smart Materials and Nanotechnology in Engineering, SMNE 2011, September 17, 2011 - September 18, 2011, Wuhan, China
Gao H.
;
Lu Q.
;
Huang F.
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  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
In order to determination of cholesterol in human serum with no reagent using nearinfrared (NIR) spectroscopy. Interval partial least square (iPLS) was proposed as an effective variable selection approach for multivariate calibration. For this purpose
an independent sample set was employed to evaluate the prediction ability of the resulting model. The spectrum was split into different interval. Then
the informative region of cholesterol (1688-1760nm)
in which the PLS model has a low RMSEP with 0.241mmol/L and a high R with 0.975
is selected with 23 intervals. The results indicate that
the informative region of cholesterol can be obtained by iPLS and applied to design the simpler reagentless NIR instruments for inexpensive cholesterol measurement in future. (2012) Trans Tech Publications
Switzerland.
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