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西安交通大学 [15]
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会议论文 [8]
期刊论文 [7]
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2017 [2]
2016 [1]
2015 [1]
2013 [1]
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2011 [3]
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专题:西安交通大学
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Thermal error compensation based on genetic algorithm and artificial neural network of the shaft in the high-speed spindle system
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2017, 卷号: 231, 页码: 753-767
作者:
Ma, Chi
;
Zhao, Liang
;
Mei, Xuesong
;
Shi, Hu
;
Yang, Jun
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/11/26
grey cluster grouping
genetic algorithm
High-speed spindle
thermal error compensation
back propagation neural network
thermal tilt angles
Recognition Technology of Winding Deformation Based on Principal Components of Transfer Function Characteristics and Artificial Neural Network
期刊论文
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2017, 卷号: 24, 页码: 3922-3932
作者:
Luo, Yongfen
;
Ye, Jianqu
;
Gao, Jiaping
;
Chen, George
;
Wang, Guoli
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Principal component analysis (PCA)
M-Sequence method
Winding deformation
back-propagation ANN
Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 卷号: 23, 期号: [db:dc_citation_issue], 页码: 19481-19494
作者:
Ding, Weifu
;
Zhang, Jiangshe
;
Leung, Yee
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Back-propagation
Sparse response
Generalization
Multiple linear regression
Air pollution prediction
Artificial neural network
An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data
期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2015, 卷号: 6, 期号: [db:dc_citation_issue], 页码: 434-442
作者:
Liu, Jun
;
Fang, Wanliang
;
Zhang, Xudong
;
Yang, Chunxiang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Aerosol index (AI)
back propagation (BP) network
artificial neural network (ANN) method
maximum absolute prediction error
photovoltaic (PV) power forecasting
Combination of support vector regression and artificial neural networks for prediction of critical heat flux
期刊论文
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2013, 卷号: 62, 期号: [db:dc_citation_issue], 页码: 481-494
作者:
Jiang, B. T.
;
Zhao, F. Y.
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/10
Annealing robust back propagation
Back-propagation network
Support vector regression
Critical heat flux
Prediction of the Flow Stress of a High Alloyed Austenitic Stainless Steel Using Artificial Neural Network
会议论文
作者:
Zhang, Zhaohui
;
Yan, Dongna
;
Ju, Jiantao
;
Han, Ying
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/10
hot deformation
back-propagation neural network
artificial neural network
austenitic stainless steel
GA-BP algorithm based on burst pressure prediction of steam generator tubing
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2011, 卷号: 45, 期号: [db:dc_citation_issue], 页码: 84-89
作者:
Ai, Bo
;
Hu, Jun
;
Zhang, Zaoxiao
;
Cheng, Guangxu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Back-propagation artificial neural network
Burst pressures
GA-BP algorithms
Hybrid algorithms
Local minimums
Slow convergences
Steam generator tube
Steam generator tubings
Fault predictive diagnosis of wind turbine based on LM arithmetic of artificial neural network theory
会议论文
作者:
Ju, Lincang
;
Song, Dekuan
;
Shi, Beibei
;
Zhao, Qiang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/10
Back propagation neural networks
Backpropagation network
Basic principles
Diagnosis model
Fault factor
Fault prediction
Paper analysis
System faults
Artificial Neural Network to Predict the Hot Deformation Behavior of Super 13Cr Martensitic Stainless Steel
会议论文
作者:
Han, Ying
;
Qiao, Guanjun
;
Yan, Dongna
;
Zou, Dening
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/10
hot deformation
martensitic stainless steel
back-propagation neural network
artificial neural network
Artificial neural network model of airfoil aerodynamic performance using design of experiments
期刊论文
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2010, 卷号: 31, 期号: [db:dc_citation_issue], 页码: 893-898
作者:
Ju, Yaping
;
Zhang, Chuhua
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/10
Aero-dynamic performance
Airfoil aerodynamics
Artificial neural network modeling
Back propagation neural networks
Multi-parameter optimizations
Optimization design
Range of angles of attack
Training sample
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