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兰州理工大学 [12]
华南理工大学 [8]
兰州大学 [7]
北京航空航天大学 [4]
沈阳自动化研究所 [4]
光电技术研究所 [3]
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会议论文 [57]
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Research on equipment fault prediction expert system based on big data dimension reduction
会议论文
Jinan, Virtual, China, June 19, 2020 - June 21, 2020
作者:
Zhu, Ningning
;
Song, Bin
;
Lu, Yan
;
Li, Yingtang
;
Zhu, Zhongzheng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/12/18
Backpropagation
Big data
Crude oil
Dimensionality reduction
Expert systems
Fluid catalytic cracking
Forecasting
Fuzzy inference
Fuzzy logic
Fuzzy neural networks
Heavy oil production
Nonlinear control systems
Pattern recognition systemsData dimension reduction
Dimension reduction
Error back propagation
Heavy oil catalytic cracking
Inspection and maintenance
Petrochemical enterprise
Physical information
Prediction accuracy
Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method
会议论文
线上, 19 – 24th July, 2020
作者:
Pan, Cheng
;
Tan, Jie
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/09/25
Short-Term Photovoltaic Power Prediction Modeling Based on AdaBoost Algorithm and Elman
会议论文
Virtual, Chengdu, China, December 25-27, 2020
作者:
Sun, Wenxuan
;
Zhang T(张涛)
;
Tao, Ran
;
Wang AN(王安娜)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/03/14
Photovoltaic power prediction
AdaBoost algorithm
Bat algorithm
Elman nerve-network
Power load data preprocessing based on PFCM algorithm and neural network
会议论文
Chongqing, China, May 24, 2019 - May 26, 2019
作者:
Hao, Xiaohong
;
Zhang, Chunyan
;
Li, Hang
;
Wang, Weizhou
;
Liu, Fuchao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Classification (of information)
Curve fitting
Electric load dispatching
Electric power plant loads
Electric power transmission networks
Genetic algorithms
Radial basis function networks
Statistics
Average relative error
Clustering results
Genetic-algorithm optimizations
Number of clusters
Outliers
Power load
RBF Neural Network
Trained neural networks
High and Low Prices Prediction of Soybean Futures with LSTM Neural Network
会议论文
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2018-11-23
作者:
Wang, C.
;
Gao, Q.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/30
Costs
Electronic trading
Financial markets
Forecasting
Profitability
Software engineering
BP neural networks
Commodity exchange
High price
low prices
Mean absolute error
Prediction model
Price prediction
soybean futures
Long short-term memory
An AUV Adaptive Sampling Path Planning Method Based On Online Model Prediction
会议论文
Daejeon, KOREA, September 18-20, 2019
作者:
Yan SX(阎述学)
;
Li YP(李一平)
;
Feng XS(封锡盛)
;
Li S(李硕)
;
Tang YG(唐元贵)
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2020/01/11
adaptive sampling
Gaussian Process Regression
AUV
online path planning
hot spot area observation
An AUV Adaptive Sampling Path Planning Method Based On Online Model Prediction
会议论文
Daejeon, KOREA, September 18-20, 2019
作者:
Yan SX(阎述学)
;
Li YP(李一平)
;
Feng XS(封锡盛)
;
Li S(李硕)
;
Tang YG(唐元贵)
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/01/11
adaptive sampling
Gaussian Process Regression
AUV
online path planning
hot spot area observation
An improved aircraft landing distance prediction model based on particle swarm optimization - Extreme learning machine method
会议论文
IEEE International Conference on Industrial Engineering and Engineering Management
作者:
Qian, S.
;
Zhou, S.
;
Chang, W.
;
Wei, F.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Aircraft
Aircraft landing
Forecasting
Knowledge acquisition
Learning systems
Network layers
Neural networks
Swarm intelligence
Activation functions
Extreme learning machine
Feed-forward network
Flight data
Flight safety
Maximum absolute error
Maximum relative errors
PSO-ELM
Particle swarm optimization (PSO)
Short-term Bus Passenger Flow Forecast Based On Deep Learning
会议论文
济南, 2018-12-14
作者:
Li Xiaoshuang
;
Chen Ziyang
;
Zhu Fenghua
;
Chang Wei
;
Tan Chang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2022/06/16
FORECASTING OF IONOSPHERIC VERTICAL TOTAL ELECTRON CONTENT (TEC) USING LSTM NETWORKS
会议论文
Ningbo, PEOPLES R CHINA, JUL 09-12, 2017
作者:
Sun, Wenqing
;
Xu, Long
;
Huang, Xin
;
Zhang, Weiqiang
;
Yuan, Tianjiao
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2018/04/09
Ionospheric
Tec
Lstm
Forecast
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