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LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
会议论文
Yokohama, Japan, January 7-15, 2021
作者:
Xiang Cheng
;
Yunzhe Hao
;
Jiaming Xu
;
Bo Xu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/06/23
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:8/0
  |  
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
BCPL: Convolutional Prototype Learning for Brain Networks for Depression Diagnosis
会议论文
Online, 2020/06/23
作者:
Zhi DM(支冬梅)
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  |  
浏览/下载:24/0
  |  
提交时间:2021/06/28
Centrifugal pump impeller and volute shape optimization via combined NUMECA, genetic algorithm, and back propagation neural network
会议论文
作者:
Han, Xiangdong
;
Kang, Yong
;
Sheng, Jianping
;
Hu, Yi
;
Zhao, Weiguo
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  |  
浏览/下载:18/0
  |  
提交时间:2020/12/18
Backpropagation
Centrifugal pumps
Computational fluid dynamics
Curve fitting
Energy dissipation
Flow rate
Genetic algorithms
Impellers
Neural networks
Torsional stressBack-propagation neural networks
Centrifugal pump impellers
Efficiency increase
Flow rate conditions
Hydraulic performance
NUMECA-GA-BPNN
Optimization method
Post optimization
Multi-feature fusion siamese network for real-time object tracking
会议论文
Shenzhen, China, December 8, 2018 - December 10, 2018
作者:
Zhou, Lijun
;
Li, Hongyun
;
Zhang, Jianlin
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  |  
浏览/下载:38/0
  |  
提交时间:2019/08/23
Benchmarking
Multilayer neural networks
Multimedia systems
Semantics
Short-term load prediction method for power distributing method based on back-propagation neural network
会议论文
Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
作者:
Liu, Y.
;
Li, D.
;
Pei, H.
;
Liu, K.
;
Li, Y.
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Backpropagation
Electric power plant loads
Energy management
Energy management systems
Forecasting
Industrial electronics
Neural networks
Back propagation neural networks
BP neural networks
Data normalization
Data preprocessing
Load forecast
Power load forecasting
Short term load forecasting
Short term load predictions
Electric power system planning
Accelerating Convolutional Neural Networks for Mobile Applications
会议论文
Amsterdam, Netherlands, 2016.10-15-10.19
作者:
Wang, Peisong
;
Cheng, Jian
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  |  
浏览/下载:63/0
  |  
提交时间:2018/01/07
Convolutional Neural Networks
Acceleration
Image Classification
Tensor Decomposition
Towards convolutional neural networks compression via global error reconstruction
会议论文
25th international joint conference on artificial intelligence, ijcai 2016, new york, ny, united states, 2016-07-09
作者:
Lin, Shaohui
;
Ji, Rongrong
;
Guo, Xiaowei
;
Li, Xuelong
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  |  
浏览/下载:23/0
  |  
提交时间:2017/01/04
Approximation theory
Artificial intelligence
Backpropagation
Compaction
Convolution
Data compression
Digital storage
Electric distortion
Errors
Image coding
Neural networks
Signal distortion
Boundedness of Weight Elimination for BP Neural Networks
会议论文
13th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, POLAND, 2014-06-01
作者:
Wang, Jian
;
Zurada, Jacek M.
;
Wang, Yanjiang
;
Wang, Jing
;
Xie, Guofang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
backpropagation
neural networks
weight decay
weight elimination
boundedness
A Proof of a Key Formula in the Error-Backpropagation Learning Algorithm for Multiple Spiking Neural Networks
会议论文
11th International Symposium on Neural Networks (ISNN), PEOPLES R CHINA, 2014-01-01
作者:
Yang, Wenyu
;
Yang, Dakun
;
Fan, Yetian
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/09
Spiking neuron
Error-backpropagation
Differentiation of the firing time
Implicit function theorem
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