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Valley-Polarized Topological Phases with In-Plane Magnetization 期刊论文  OAI收割
NANO LETTERS, 2024, 卷号: 24, 期号: 42, 页码: 13213-13218
作者:  
Barik, Ranjan Kumar;  Mishra, Subhendu;  Khazaei, Mohammad;  Wang, Shiyao;  Liang, Yunye
  |  收藏  |  浏览/下载:5/0  |  提交时间:2025/04/27
Valley-Polarized Topological Phases with In-Plane Magnetization 期刊论文  OAI收割
NANO LETTERS, 2024, 卷号: 24, 期号: 42, 页码: 13213-13218
作者:  
Barik, Ranjan Kumar;  Mishra, Subhendu;  Khazaei, Mohammad
  |  收藏  |  浏览/下载:2/0  |  提交时间:2025/04/27
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  
Gao X.;  Yu P.;  Yu P.
收藏  |  浏览/下载:39/0  |  提交时间:2013/03/25
Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)  which is most widely used  is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason  Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter  firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions  a weight and mutation particle swam optimization algorithm was proposed  in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last  a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment  which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.  
real-time reasoning based on event-condition-action rules 会议论文  OAI收割
On the Move Confederated International Conference and Workshops, Monterrey, MEXICO, NOV 09-14,
Qiao Ying; Li Xiang; Wang Hongan; Zhong Kang
  |  收藏  |  浏览/下载:36/0  |  提交时间:2011/06/13
A new super-memory gradient method with curve search rule 期刊论文  OAI收割
APPLIED MATHEMATICS AND COMPUTATION, 2005, 卷号: 170, 期号: 1, 页码: 1-16
作者:  
Shi, ZJ;  Shen, J
  |  收藏  |  浏览/下载:23/0  |  提交时间:2018/07/30
A new descent algorithm with curve search rule 期刊论文  OAI收割
APPLIED MATHEMATICS AND COMPUTATION, 2005, 卷号: 161, 期号: 3, 页码: 753-768
作者:  
Shi, ZJ;  Shen, J
  |  收藏  |  浏览/下载:19/0  |  提交时间:2018/07/30
Multi-Scaling Sampling: An Adaptive Sampling Method for Discovering Approximate Association Rules 期刊论文  OAI收割
Journal of Computer Science and Technology, 2005, 卷号: 20, 期号: 3, 页码: 309-318
作者:  
Xie-Ping Gao;  Cai-Yan Jia
  |  收藏  |  浏览/下载:41/0  |  提交时间:2010/11/03