Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Fengming Ye"'
Autor:
Mengqiu Li, Zhiyuan Hu, Bo Yan, Jiaxiang Wang, Haodong Zhang, Fengming Ye, Bin Sun, Junshan Liu, Yahui Li, Guifu Ding, Faheng Zang, Zhuoqing Yang
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Strain gauge plays vital roles in various fields as structural health monitoring, aerospace engineering, and civil infrastructure. However, traditional flexible strain gauge inevitably brings the pseudo-signal caused by the substrate tempera
Externí odkaz:
https://doaj.org/article/f2b8bb219d024a2fa2d8bf7a5e3bfb11
Autor:
Haodong Zhang, Han Cai, Fengming Ye, Qijun Xiao, Bo Fu, Shankai Yin, Kaiming Su, Zhuoqing YANG
Publikováno v:
SSRN Electronic Journal.
Autor:
Yahui Li, Jiayu Li, Zhiyuan Hu, Mengqiu Li, Haodong Zhang, Ruiqing Ge, Fengming Ye, Guanlin Liu, Miaomiao Wu, Guifu Ding, Lingyu Wan, Zhuoqing YANG
Publikováno v:
SSRN Electronic Journal.
Autor:
Heyang Xu, Zhiyang Zhang, Jing Xu, Qingjun Zhou, Yuejin Guan, Kejia Wu, Xue Han, Ke Xu, Lei Yang, Fengming Ye
Publikováno v:
Journal of Alloys and Compounds. 680:163-168
Y0.5Ca0.5−xInxBaCo3.2Ga0.8O7+δ (x = 0.0 or 0.1, and denoted as YCBCG, YCIBCG, respectively) oxides are synthesized and investigated as cathode materials for intermediate temperature solid oxide fuel cells (IT-SOFCs). The In content (x) significant
Publikováno v:
Advanced Materials Technologies. 4:1900346
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 16:851-863
Many classical methods such as Genetic Algorithm (GA), Genetic Programming (GP), Evolutionary Strategies (ES), etc. have made significant contribution to the study of evolutionary computation. And recently, a new approach named Genetic Network Progra
Publikováno v:
Advanced Optical Materials. 6:1800427
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 13:551-560
Genetic Network Programming (GNP) is an evolutionary algorithm derived from GA and GP. Directed graph structure, reusability of nodes, and implicit memory function enable GNP to deal with complex problems in dynamic environments efficiently and effec
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 13:581-591
In this paper, we propose a heuristic method -- Boltzmann Optimal Route Method trying to find a good approximation to the global optimum route for Origin-Destination pairs through iterations until the total traveling time converges. The overall idea
Publikováno v:
GECCO (Companion)
Recently, a new approach named Genetic Network Programming (GNP) has been proposed for especially solving complex problems in dynamic environments. In this paper, we propose a memory scheme for GNP to enhance the performance of GNP and use SARSA lear