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长春光学精密机械与物... [4]
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期刊论文 [3]
会议论文 [1]
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2021 [2]
2020 [1]
2006 [1]
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专题:长春光学精密机械与物理研究所
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Residual spatial and channel attention networks for single image dehazing
期刊论文
Sensors, 2021, 卷号: 21, 期号: 23, 页码: 916-931
作者:
X. Jiang
;
C. Zhao
;
M. Zhu
;
Z. Hao and W. Gao
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  |  
浏览/下载:2/0
  |  
提交时间:2022/06/13
Residual Spatial and Channel Attention Networks for Single Image Dehazing
期刊论文
Sensors, 2021, 卷号: 21, 期号: 23, 页码: 20
作者:
X. Jiang
;
C. L. Zhao
;
M. Zhu
;
Z. C. Hao and W. Gao
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  |  
浏览/下载:0/0
  |  
提交时间:2023/06/14
Object tracking with collaborative extreme learning machines
期刊论文
Multimedia Tools and Applications, 2020, 卷号: 79, 期号: 7-8, 页码: 4965-4988
作者:
H. P. Kuang and L. Xun
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浏览/下载:3/0
  |  
提交时间:2021/07/06
An improved adaptive neural network method for control system (EI CONFERENCE)
会议论文
2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006, Dalian, China
Wang L.-M.
;
Xie M.-J.
;
Wu D.-Y.
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浏览/下载:11/0
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提交时间:2013/03/25
Classical methods for designing a controller depend on the accuracy of system model. However
plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article
a new
simple adaptive control method
which combines the classical frequency domain method with the neural network theory
is proposed. Firstly
we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally
LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.
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