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Divide and Conquer: A Quick Scheme for Symbolic Regression 期刊论文
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2022, 卷号: 19, 期号: 08, 页码: 25
作者:  Luo ZT(罗长童);  Chen C(陈辰);  Jiang ZL(姜宗林)
Adobe PDF(204Kb)  |  收藏  |  浏览/下载：153/34  |  提交时间：2023/02/07
Symbolic regression  machine learning  divide and conquer  bi-correlation test  mathematical modeling  genetic programming  
Criteria for hypersonic airbreathing propulsion and its experimental verification 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2021, 卷号: 34, 期号: 3, 页码: 94-104
作者:  Jiang ZL(姜宗林);  Zhang ZJ(张子健);  Liu YF(刘云峰);  Wang C(王春);  Luo ZT(罗长童)
Adobe PDF(1806Kb)  |  收藏  |  浏览/下载：278/54  |  提交时间：2021/05/17
Concept demonstration  Hypersonic propulsion  Oblique detonation engine  Scramjet  Shock wave  Supersonic combustion  Wind tunnel test  
Parameter-correlation study on shock-shock interaction using a machine learning method 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 卷号: 107, 页码: 106247
作者:  Peng J(彭俊);  Luo ZT(罗长童);  Han ZJ(韩子健);  Hu ZM(胡宗民);  Han GL(韩桂来);  Jiang ZL(姜宗林)
Adobe PDF(2818Kb)  |  收藏  |  浏览/下载：262/108  |  提交时间：2021/01/29
Shock-shock interaction  Machine learning  Hypersonic flow  Impinging jet  Genetic programming  Triple point  
Weighting by Cross-Validation: A Calibration Method for Force Measurements via Transient Response Analysis 期刊论文
EXPERIMENTAL TECHNIQUES, 2019, 卷号: 43, 期号: 4, 页码: 469-478
作者:  Luo ZT(罗长童);  Wang YP(汪运鹏);  Hu ZM(胡宗民);  Li JP(李进平);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(2227Kb)  |  收藏  |  浏览/下载：249/57  |  提交时间：2019/10/21
Aerodynamic force measurement  Dynamic system  Impact response  Cross-validation  System identification  
A multilevel block building algorithm for fast modeling generalized separable systems 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2018, 卷号: 109, 页码: 25-34
作者:  Chen C(陈辰);  Luo ZT(罗长童);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(1112Kb)  |  收藏  |  浏览/下载：351/96  |  提交时间：2018/10/30
Symbolic Regression  Genetic Programming  Generalized Separability  Multilevel Block Building  
Numerical investigation of the axial impulse load during the startup in the shock tunnel 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 卷号: 73, 页码: 332-342
作者:  Meng BQ(孟宝清);  Han GL(韩桂来);  Luo ZT(罗长童);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(1937Kb)  |  收藏  |  浏览/下载：262/86  |  提交时间：2018/10/30
Hypersonic  Shock tunnel  Start-up process  Impulse force  Vibration  
Block building programming for symbolic regression 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 1973-1980
作者:  Chen C;  Luo ZT(罗长童);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(676Kb)  |  收藏  |  浏览/下载：388/124  |  提交时间：2018/02/08
Symbolic Regression  Separable Function  Block Building Programming  Genetic Programming  
Aerodynamic force and moment measurement of 10° half-angle cone in JF12 shock tunnel 期刊论文
Chinese Journal of Aeronautics, 2017, 卷号: 30, 期号: 3, 页码: 983-987
作者:  Liu YF(刘云峰);  Wang YP(汪运鹏);  Yuan CK(苑朝凯);  Luo ZT(罗长童);  Jiang ZL(姜宗林);  Liu, YF (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China.
浏览  |  Adobe PDF(1080Kb)  |  收藏  |  浏览/下载：512/126  |  提交时间：2017/08/22
Aerodynamic Force And Moment Measurement  10° Half-angle Cone Model  Jf12  Real-gas Effects  Shock Tunnel  
Fast Modeling Methods for Complex System with Separable Features 会议论文
10th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, PEOPLES R CHINA, DEC 09-10, 2017
作者:  Chen C(陈辰);  Luo ZT(罗长童);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(249Kb)  |  收藏  |  浏览/下载：241/81  |  提交时间：2018/06/06
Data-driven Modeling  Genetic Programming  Generalized Separable Model  Multi-level Block Search  
Elite bases regression: A real-time algorithm for symbolic regression 会议论文
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, Guilin, Guangxi, China, July 29, 2017 - July 31, 2017
作者:  Chen C(陈辰);  Luo ZT(罗长童);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(245Kb)  |  收藏  |  浏览/下载：209/49  |  提交时间：2018/11/08
Data mining  Fuzzy systems  Genetic algorithms  Genetic programming  Iterative methods  Learning systems  Comparative studies  Correlation coefficient  Function extraction  Large  scale problem  Machine learning methods  Real time algorithms  Symbolic regression  Symbolic regression problems