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5条,第1-5条 帮助

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A new evil waveforms evaluating method for new BDS navigation signals 期刊论文  OAI收割
GPS SOLUTIONS, 2018, 卷号: 22, 期号: 2, 页码: 13
作者:  
He, Chengyan;  Guo, Ji;  Lu, Xiaochun;  Wang, Xue;  Rao, Yongnan
  |  收藏  |  浏览/下载:19/0  |  提交时间:2021/11/29
Parameterized characterization for rotating-bending fatigue strength of high-strength metal components 会议论文  OAI收割
International Conference on Airworthiness & Fatigue-7th ICSAELS Series Conference, 中国北京/Beijing, China, 2013-03-25
作者:  
Zhang JF(张均锋);  Bian XD(卞祥德);  Mu D(穆丹)
收藏  |  浏览/下载:33/0  |  提交时间:2014/04/02
Evaluation system of photovoltaic disturbance effect based on simulations (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China
作者:  
Li Y.;  Lu M.;  Guo L.-H.;  Li Y.;  Li Y.
收藏  |  浏览/下载:15/0  |  提交时间:2013/03/25
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.  
Anti-stokes fluorescent cooling by energy transfer (EI CONFERENCE) 会议论文  OAI收割
作者:  
Zhang J.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25