Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Zhengming Gao"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6422-6467 (2023)
The aquila optimization algorithm (AO) is an efficient swarm intelligence algorithm proposed recently. However, considering that AO has better performance and slower late convergence speed in the optimization process. For solving this effect of AO an
Externí odkaz:
https://doaj.org/article/334127d823924fb5b97ed93be5770116
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 10, Pp 10275-10315 (2022)
The intelligent clonal optimizer (ICO) is a new evolutionary algorithm, which adopts a new cloning and selection mechanism. In order to improve the performance of the algorithm, quasi-opposition-based and quasi-reflection-based learning strategy is a
Externí odkaz:
https://doaj.org/article/187f4dd2514b4d2d991c180d2f787352
Autor:
Yujun Zhang, Yufei Wang, Shuijia Li, Fengjuan Yao, Liuwei Tao, Yuxin Yan, Juan Zhao, Zhengming Gao
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 5610-5637 (2022)
In order to maximize the acquisition of photovoltaic energy when applying photovoltaic systems, the efficiency of photovoltaic system depends on the accuracy of unknown parameters in photovoltaic models. Therefore, it becomes a challenge to extract t
Externí odkaz:
https://doaj.org/article/acc4d07d8cad48638d3b23723f836aaa
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 5638-5670 (2022)
In order to have the highest efficiency in real-life photovoltaic power generation systems, how to model, optimize and control photovoltaic systems has become a challenge. The photovoltaic power generation systems are dominated by photovoltaic models
Externí odkaz:
https://doaj.org/article/a56b3a0a5144423f9b04ee31d42e719a
Publikováno v:
Complexity, Vol 2021 (2021)
Current methods of chaos-based action recognition in videos are limited to the artificial feature causing the low recognition accuracy. In this paper, we improve ChaosNet to the deep neural network and apply it to action recognition. First, we extend
Externí odkaz:
https://doaj.org/article/13a57e84acd14b90856fb47767851f67
Publikováno v:
Chinese Journal of Chemical Engineering. 58:112-123
Publikováno v:
Chemical Engineering Research and Design. 191:325-337
Publikováno v:
Chinese Journal of Chemical Engineering. 52:66-77
The hydrodynamics and mixing during the nonaxisymmetry impingement of a micro-droplet and a sessile droplet of the same fluid are investigated by many-body dissipative particle dynamics (MDPD) simulation. In this work, the range of the impingement an
Publikováno v:
Industrial & Engineering Chemistry Research. 61:17366-17378
Publikováno v:
Asia-Pacific Journal of Chemical Engineering.