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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Thermal design parameters analysis and model updating using Kriging model for space instruments 期刊论文 International Journal of Thermal Sciences, 2022, 卷号: 171, 期号: 10 作者:  Q. L. Cui;  G. Y. Lin;  D. S. Cao;  Z. H. Zhang;  S. R. Wang and Y. Huang 收藏  |  浏览/下载：10/0  |  提交时间：2022/06/13 A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System 期刊论文 Applied Sciences-Basel, 2022, 卷号: 12, 期号: 13, 页码: 21 作者:  L. Sheng;  W. C. Zhao;  Y. Zhou;  W. M. Lin;  C. Y. Du and H. W. Lou 收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14 Surrogate modeling for spacecraft thermophysical models using deep learning 期刊论文 Neural Computing & Applications, 2022, 卷号: 34, 期号: 19, 页码: 16577-16603 作者:  Y. Xiong;  L. Guo;  Y. Zhang;  M. X. Xu;  D. F. Tian and M. Li 收藏  |  浏览/下载：1/0  |  提交时间：2023/06/14 A Surrogate-Model-Based Approach for the Optimization of the Thermal Design Parameters of Space Telescopes 期刊论文 Applied Sciences-Basel, 2022, 卷号: 12, 期号: 3, 页码: 15 作者:  W. B. Zhu;  L. Guo;  Z. H. Jia;  D. F. Tian and Y. Xiong 收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14 Global sensitivity analysis based on bp neural network for thermal design parameters 期刊论文 Journal of Thermophysics and Heat Transfer, 2021, 卷号: 35, 期号: 1, 页码: 187-199 作者:  Y. Yang;  L. Chen;  Y. Xiong;  S. Li and X. Meng 收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13 Intelligent Optimization Strategy Based on Statistical Machine Learning for Spacecraft Thermal Design 期刊论文 Ieee Access, 2020, 卷号: 8, 页码: 204268-204282 作者:  Y. Xiong,L. Guo,D. F. Tian,Y. Zhang and C. L. Liu 收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06 A prior-based metal artifact reduction algorithm for x-ray CT 期刊论文 Journal of X-Ray Science and Technology, 2015, 卷号: 23, 期号: 2, 页码: 229-241 作者:  Li, M.;  J. Zheng;  T. Zhang;  Y. H. Guan;  P. Xu and M. S. Sun 收藏  |  浏览/下载：21/0  |  提交时间：2016/07/15 Study of Experimental Design and Response Surface Method for Surrogate Model of Computational Simulation 会议论文 ICECE, IEEE, 2011-09-16 Jia HG(贾宏光) 收藏  |  浏览/下载：6/0  |  提交时间：2012/05/12 Study of experimental design and Response Surface method for surrogate model of computational simulation (EI CONFERENCE) 会议论文 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China Xi R.; Jia H.; Xiao Q. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 While the high-precision simulation is widely used in science and technology  Design of Experiment (DOE) based on Response Surface (RS) method can be employed in surrogate model to reduce the cost and error. In order to illustrate the relationship between parameters and response features  several DOE methods and Response Surface (RS) method are studied. The author used polynomial regression and RBF neural network based on orthogonal array to build a rocket aerodynamic discipline surrogate model respectively which proved their feasibility. From the results of the test case  conclusion is drawn that characteristic as well as acclimatization of DOE methods and different approximation should be considered for different issues  so the factors of cost and accuracy could reach a balance synthetically. 2011 IEEE.