中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共6条,第1-6条 帮助

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Imaging through scattering medium based on lensless Fourier transform digital holography 会议论文  OAI收割
Shanghai, China, 2021-10-28
作者:  
Zhang, Hui;  Wang, Ruiduo;  Zhang, Zaikun;  He, Zhengquan
  |  收藏  |  浏览/下载:38/0  |  提交时间:2022/03/18
Evaluation of arsenic contamination and potential health risk through water intake in urban and rural areas 期刊论文  OAI收割
HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2020, 页码: 16
作者:  
Rasool, Atta;  Muhammad, Said;  Shafeeque, Muhammad;  Ahmad, Iftikhar;  Al-Misned, Fahad A.
  |  收藏  |  浏览/下载:38/0  |  提交时间:2021/03/15
A statistical analysis of the electron number density fluctuations near the plasmapause based on Van Allen Probes observations 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2020, 卷号: 63, 期号: 6, 页码: 2141-2148
作者:  
Wang YuYouTing;  Zhang XiaoXin;  He Fei;  Lin RuiLin;  Lu JingTian
  |  收藏  |  浏览/下载:36/0  |  提交时间:2020/07/07
Anion Photoelectron Spectroscopy and Theoretical Study of HAuCN and [HAuCN](-): Spin-Orbit Coupling and Low-Lying Excited States 期刊论文  OAI收割
JOURNAL OF PHYSICAL CHEMISTRY A, 2020, 卷号: 124, 期号: 23, 页码: 4712-4719
作者:  
Xiong, XG;  Liu, HT
  |  收藏  |  浏览/下载:46/0  |  提交时间:2021/09/06
Forecast Study of Temperature of Shanghai Base on Energy Consuming Analysis 期刊论文  OAI收割
advances in intelligent and soft computing, 2011, 卷号: 106, 期号: 1, 页码: 447-454
Niu,Qiang; Lin,Feng; Nie,Chaoqun; Li, Ling(李玲)
收藏  |  浏览/下载:12/0  |  提交时间:2011/12/19
System identification of tracking error and evaluation of tracking performance using BP neural network (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China
Zhang N.; Shen X.-H.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
A novel approach for evaluating the tracking performance of optoelectronic theodolite is proposed. First  an equivalent mathematic model of tracking error is established. Then  the equivalent sine signal is inputted to the equivalent model  and the outputs are sampled. The results of evaluating the tracking performance are obtained based on the statistical calculation of output produced by equivalent model. Equivalent model using the BP (Backprogration) neural network structure is identified. The training method of BP neural network adopts the LM (Levenberg-Marquardt) algorithm for the sake of speeding up training process. The BP neural network is trained and tested by using the training and testing samples gotten from the simulation model of optoelectronic theodolite tracking system under MATLAB/SIMULINK. The estimate errors of equivalent model including average error  maximum error and standard error are 2.5872e-0060  2.8 and 1.9. The results show that the equivalent model identified based on BP neural network meets the needs of evaluating the tracking performance of optoelectronic theodolite. The accurate evaluation of tracking performance is achieved. 2009 SPIE.