Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ji-shan Fan"'
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 38:410-416
Autor:
Ji-Shan Fan, Zhizhen Xu, Dan-Ning Liu, Fengtian He, Hai-Gang Zhang, Yi Jia, Gang Huang, Xiaohui Li
Publikováno v:
Journal of Ethnopharmacology. 142:732-738
Ethnopharmacological relevance Panax notoginseng (Burk.) F.H. Chen has been used as a health product and natural remedy in traditional medicine for cardiovascular diseases for more than 1000 years in Asia, including China, Japan, and Korea. Panax not
Publikováno v:
Advanced Materials Research. :4194-4198
This paper discusses the design of the temperature and humidity monitoring system. It designs from software and hardware aspects in detail. The system included the three modules such as PC, FPGA and some peripheral circuit. Thereinto emphasis is laid
Autor:
Ji Shan Fan, Hong Jun Gao
Publikováno v:
Acta Mathematica Sinica, English Series. 17:381-390
In this paper, under the Lorentz gauge, the global existence, local dissipativity and attractors of the evolutionary superconductivity problem which is a parabolic-hyperbolic system are obtained.
Autor:
Zhizhen Xu, Ji-Shan Fan, Wei Gong, Gang Huang, Xiaojun Duan, Yan Zhang, Yan Huang, Fengtian He
Publikováno v:
Journal of clinical immunology. 33(3)
The aim of the present study was to evaluate whether the anti-Rheumatoid arthritis (RA) effect of curcumin is associated with the regulation of B cell-activating factor belonging to the TNF family (BAFF) production.Collagen-induced arthritis (CIA) wa
Publikováno v:
ICNC (4)
The convex hull of a set of points is the smallest convex set that contains the points. This article presents a multi-objective differential evolutionary algorithm based on quick convex hull algorithms. In the improving multi-objective optimization a
Publikováno v:
ICNC (1)
Differential Evolutionary (DE) is an evolutionary algorithm that was developed to handle optimization problems. DE is a simple algorithm, but it has been successfully applied to selected real world multi-objective problems. In this paper, Improving M
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
NSGA II (Fast Elitist Non-Dominated Sorting Genetic Algorithm) is one of better elitist multi-objective evolutionary algorithm. It doesn't limit the elitist extent, which will result in prematurely converging to local Pareto-optimal front. To avoid p
Autor:
Ji-Shan Fan
Publikováno v:
International Journal of Computer Applications in Technology. 44:117
A number of researchers have effectively applied particle swarm optimisation (PSO) to multi-objective optimisation problems. However, it is important to obtain a well-converged and well-distributed set of Pareto-optimal solutions. This paper proposes
Publikováno v:
2009 Fifth International Conference on Natural Computation; 2009, p469-473, 5p