Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Zhengxue Li"'
Publikováno v:
Symmetry, Vol 14, Iss 9, p 1862 (2022)
According to the symmetrical characteristics of a new type of Reusable Launch Vehicle (RLV) in the recovery phase, we studied the basic aerodynamic model data of Starship and the aerodynamic data with rudder deflection, and the causes of its aerodyna
Externí odkaz:
https://doaj.org/article/2b60f305382a4e26ae138dc3dba92553
Publikováno v:
Drones, Vol 6, Iss 5, p 129 (2022)
The core of the short takeoff and landing problem in thrust-vectoring V/STOL vehicles is the tilt angle control of the thrust vector nozzles. This work resolves it by figuring out the optimal tilt angle time history with optimization methods. Since t
Externí odkaz:
https://doaj.org/article/e2d7e62f7acf4fde990a4c75c82a89d1
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
Particle swarm optimization (PSO) is inspired by sociological behavior. In this paper, we interpret PSO as a finite difference scheme for solving a system of stochastic ordinary differential equations (SODE). In this framework, the position points of
Externí odkaz:
https://doaj.org/article/747161ff51c04dbaa46b9fc4f7c5b799
Autor:
Zhengxue Li, Gaoyun An
Publikováno v:
2022 16th IEEE International Conference on Signal Processing (ICSP).
Autor:
Feng Chen, Chengbo Li, Lei Liu, Wang Bo, Zhengxue Li, Xiaofen Ma, Cindy Zhou, Yong Ma, Hongzheng Jin, Jun Ming, Qingrong Zhu, Shun Mao, Xiaoling Lang, Frank D. Janiszewski, Yu Zhang, Tongxing Xia, Yao Wu, Charles C. Mosher, Qing Shen
Publikováno v:
The Leading Edge. 40:365-373
Oil field A, situated in Bohai Bay, was discovered in 1999 and has been developed as one of the most productive oil assets in China. It continues to hold significant growth potential for the future. Though the field contains a large amount of resourc
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Publikováno v:
Neurocomputing. 151:333-341
Sigma–Pi–Sigma neural networks are known to provide more powerful mapping capability than traditional feed-forward neural networks. The L1/2 regularizer is very useful and efficient, and can be taken as a representative of all the L q ( 0 q 1 ) r
Publikováno v:
Neural Processing Letters. 42:381-396
In many applications, it is natural to use interval data to describe various kinds of uncertainties. This paper is concerned with a one-layer interval perceptron with the weights and the outputs being intervals and the inputs being real numbers. In t
Publikováno v:
Neural Computing and Applications. 27:3-8
Interval data offer a valuable way of representing the available information in complex problems where uncertainty, inaccuracy, or variability must be taken into account. Considered in this paper is the learning of interval neural networks, of which
Autor:
Dahui Chen, Xiaoxia Ye, Zheng Xiang, Xiangxiang Yang, Longo Phemba Igo, Zhengxue Li, Bingjing Zheng
Publikováno v:
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences. 1031
Corilagin, which was isolated from several medical herbs, has been reported to exert many pharmacological activities. A simple and rapid liquid ultra-performance liquid chromatography (UPLC) coupled to photodiode array (PDA) method has been developed