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科研机构
西安交通大学 [34]
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期刊论文 [19]
会议论文 [15]
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2019 [1]
2018 [3]
2016 [5]
2015 [1]
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2012 [6]
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专题:西安交通大学
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Integrated model of BP neural network and CNN algorithm for automatic wear debris classification
期刊论文
Wear, 2019
作者:
Wang, S.
;
Wu, T.H.
;
Shao, T.
;
Peng, Z.X.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/19
Back propagation neural networks
BP neural networks
Classification procedure
Convolution neural network
Identification rates
Manual classification
Morphological features
Wear debris
An Adaptive BP Neural Network Algorithm for 2-Joint Rigid Robots
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2018, 卷号: 52, 页码: 129-135 and 164
作者:
Yang, Hang
;
Liu, Ling
;
Ni, Junkang
;
Zhang, Cheng
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/11/19
Activation functions
Adaptability
Adjustable parameters
Back propagation neural networks
Generalization ability
Position controller
Rigid robots
Sigmoid activation function
Design on Weight Support System of Lower Limb Rehabilitation Robot
会议论文
作者:
Yang, Kuncai
;
Zhang, Xiaodong
;
Zhang, Qiang
;
Yin, Gui
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/19
BP neural networks
Cable-driven
Gait training systems
PID Algorithm
Rehabilitation methods
Rehabilitation training
Structural strength
Support systems
Research on Intelligent Evaluation Method for Machining State Oriented to Process Quality Control
会议论文
作者:
Zhao, Li-Ping
;
Yan, Feng-Xian
;
Wang, Lu
;
Yao, Yi-Yong
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/11/26
BP neural networks
Dynamic characteristics
Experimental platform
Intelligent evaluation
Intelligent Manufacturing
Monitoring parameters
Non-linear relationships
Process quality control
Thermal error modeling of machine tool spindle based on particle swarm optimization and neural network
期刊论文
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2016, 卷号: 50, 页码: 686-695
作者:
Ma, Chi
;
Zhao, Liang
;
Mei, Xuesong
;
Shi, Hu
;
Yang, Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
BP networks
Cluster-grouping
Correlation analysis
Machine tool spindles
Spindle thermal errors
Temperature variables
Thermal error
Thermal error modeling
Design of neural networks for intrusion detection
期刊论文
Telkomnika (Telecommunication Computing Electronics and Control), 2016, 卷号: 14, 期号: [db:dc_citation_issue], 页码: 321-325
作者:
Wang, Huiran
;
Ma, Ruifang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
BP neural networks
Derived features
High detection rate
Information and network securities
Key Issues
Network intrusions
On-line detection
Training function
Deactivation forecasting of SCR catalyst based on GABP neural networks
期刊论文
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 卷号: 36, 期号: [db:dc_citation_issue], 页码: 112-120
作者:
Sun, Yirui
;
Li, Yuxin
;
Chen, Lei
;
Zhao, Qinxin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Deactivation
Forecasting accuracy
Ga-bp neural networks
Gray relationship
Output variables
Prediction methods
Relative activities
Selective catalytic reduction catalysts
A modified algorithm on the midcourse guidance based on BP neural network
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2016, 卷号: 50, 期号: [db:dc_citation_issue], 页码: 125-130
作者:
Wei, Qian
;
Cai, Yuanli
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/02
BP neural networks
J2 perturbation
Learning and training
Numerical calculation
Perturbation deviation
Practical engineering
Real-time computations
State transition Matrix
High power supply optimization design based on BP neural network and genetic algorithm
期刊论文
Hanjie Xuebao/Transactions of the China Welding Institution, 2016, 卷号: 37, 页码: 9-13
作者:
Zhou, Jianping
;
Xu, Yan
;
Cao, Jiong
;
Yin, Yiliang
;
Xu, Yihao
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
BP neural networks
Machining efficiency
Neural network model
Optimization design
Optimization method
Performance indicators
Pulse power supply
Short electric arcs
High-speed spindle thermal error modeling based on genetic algorithm and BP neural network
期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2015, 卷号: 21, 期号: [db:dc_citation_issue], 页码: 2627-2636
作者:
Ma, Chi
;
Yang, Jun
;
Mei, Xuesong
;
Zhao, Liang
;
Wang, Xinmeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Back propagation neural networks
Correlation analysis
Gray cluster
Spindle thermal errors
Temperature variables
Thermal error
Thermal error compensation
Thermal error modeling
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