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	Interpretation of cone penetration test in clay with smoothed particle finite element method 期刊论文 OAI收割 ACTA GEOTECHNICA, 2021, 期号: -, 页码: 15 作者: Zhang, Wei; Zou, Jia-qiang; Zhang, Xian-wei; Yuan, Wei-hai; Wu, Wei \| 收藏 \| 浏览/下载：117/0 \| 提交时间：2021/08/11 Cone penetration test Cone factor Large deformation Modified Cam-Clay Numerical modeling Smoothed particle finite element method
	Shape analysis applied in heavy ion reactions near Fermi energy 期刊论文 OAI收割 JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS, 2017, 卷号: 44, 页码: 10 作者: Zhang, S.; Huang, M.; Wada, R.; Liu, X.; Lin, W. \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/05/31 intermediate heavy ion reactions shape analysis test particle method antisymmetrized molecular dynamics model
	An efficient discrete particle swarm algorithm for task assignment problems (EI CONFERENCE) 会议论文 OAI收割 2009 IEEE International Conference on Granular Computing, GRC 2009, August 17, 2009 - August 19, 2009, Nanchang, China 作者: Wang C. 收藏 \| 浏览/下载：14/0 \| 提交时间：2013/03/25 Task Assignment Problems (TAPs) in distributed computer system are general NP-hard and usually modeled as integer programming discrete problems. Many algorithms are proposed to resolve those problems. Discrete particle swarm algorithm (DPS) is a newly developed method to solve constraint satisfaction problem (CSP) which has advantage on search capacity and can find more solutions. We proposed an improved DPS to solve TAP in this paper. DPS has a special operator namely coefficient multiplying speed which is designed for CSP but does not exist in other discrete problems. Thus we redefined a coefficient multiplying speed operator with probability selection. We analyzed the speed and position updating formula then we derived a refined position updating formula. Several experiments are carried out to test our DPS. Experimental results show that our algorithm has more efficient search capacity higher success rate less running time and more robust.
	PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文 OAI收割 2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China 作者: Sun H.; Zhang Y.; Sun H. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In this paper the time of feature extraction is faster. By test in low contrast image 2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE. orientation and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm it can ensure reliable convergence the target which can improve convergent speed