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Global optimal polynomial approximation for parametric problems in power systems Journal article
Zhou,Yongzhi, Wu,Hao, Gu,Chenghong, Song,Yonghua. Global optimal polynomial approximation for parametric problems in power systems[J]. Journal of Modern Power Systems and Clean Energy, 2018, 7(3), 500-511.
Authors:  Zhou,Yongzhi;  Wu,Hao;  Gu,Chenghong;  Song,Yonghua
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:5.7/5.4 | Submit date：2021/03/09
Galerkin Method  Global Approximation  Load Flow Problems  Optimal Approximation  Parametric Problems  Polynomial Approximation  
Global Optimal Locally Weighted Learning-Based Identification Modeling for Azimuth Stern Drive Tug Manoeuvring Conference paper
Bai, Weiwei, Ren, Junsheng, Che, Chuan, Li, Tieshan, Chen, C. L. Philip, Sun, F, Liu, H, Hu, D. Global Optimal Locally Weighted Learning-Based Identification Modeling for Azimuth Stern Drive Tug Manoeuvring[C], HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:SPRINGER-VERLAG BERLIN, 2017, 576-583.
Authors:  Bai, Weiwei;  Ren, Junsheng;  Che, Chuan;  Li, Tieshan;  Chen, C. L. Philip; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2018/10/30
Locally Weighted Learning (Lwl)  Identification Modeling  Azimuth Stern Drive Tug  Global Optimal  
Global optimal design and dynamic validation of an independent double wishbone air suspension using genetic algorithm Book chapter
出自: Applied Mechanics and Materials:Scitec Publications Ltd., 2014, 页码:374-378
Authors:  Zhao J.;  Wong, Pak Kin;  Xu T.;  Deng R.;  Wei C.Y.; et al.
Favorite | TC[Scopus]:0 | Submit date：2019/02/13
Air Suspension  Genetic Algorithm  Global  Optimal Design  Wishbone