中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共18条,第1-10条 帮助

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An irregular grid method for acoustic modeling in inhomogeneous viscoelastic medium 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2016, 卷号: 59, 期号: 11, 页码: 4212-4222
作者:  
Hui, Dou;  Jian-Feng, Zhang
  |  收藏  |  浏览/下载:28/0  |  提交时间:2017/11/21
Exact solutions of (2+1)-dimensional Bogoyavlenskii's breaking soliton equation with symbolic computation 期刊论文  OAI收割
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2010, 卷号: 60, 期号: 3, 页码: 919-923
作者:  
Xia, Tiecheng;  Xiong, Shouquan
  |  收藏  |  浏览/下载:17/0  |  提交时间:2018/07/30
Strict Optimal Rational Approximants of Multisequences 期刊论文  OAI收割
IEEE TRANSACTIONS ON INFORMATION THEORY, 2010, 卷号: 56, 期号: 4, 页码: 1719-1728
作者:  
Wan, Zhe-Xian;  Zhou, Kai
  |  收藏  |  浏览/下载:26/0  |  提交时间:2018/07/30
Simplify the RFM based on the Anti-ill-posed Algorithms 会议论文  OAI收割
Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality
Chen, Libo; Jiao, Weili
收藏  |  浏览/下载:20/0  |  提交时间:2014/12/07
Robust method for solving Rational Function Model 会议论文  OAI收割
International Conference on Electrical and Control Engineering, ICECE 2010,, Wuhan, China, June 26, 2010 - June 28,2010
Chen, Libo; Jiao, Weili
收藏  |  浏览/下载:17/0  |  提交时间:2014/12/07
Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文  OAI收割
2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China
作者:  
Wang D.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
In feature-level fusion recognition system  the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general  there are two main missions. One is improving the recognition correct rate as soon as possible  the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions  this paper presents a more rational and accurate optimization  Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition  we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last  we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points  while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.  
Analysis of narrow ridge estimation for linear CCD RFM model and its application 会议论文  OAI收割
2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009,, Cape Town, South africa, July 12, 2009 - July 17,2009
Yan, Dongmei; Kou, Tianyou; Wang, Fenfei; Chen, Fen
收藏  |  浏览/下载:18/0  |  提交时间:2014/12/07
An extended subequation rational expansion method with symbolic computation and solutions of the nonlinear Schrodinger equation model 期刊论文  OAI收割
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2008, 卷号: 2, 期号: 2, 页码: 242-255
作者:  
Chen, Yong;  Li, Biao
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/07/30
A Method to Improve Geometric Correction Accuracy for multi-angle Data 会议论文  OAI收割
Itess: 2008 Proceedings of Information Technology and Environmental System Sciences, Pt 2, Beijing
Wang, Dianzhong; Fu, Anmin; Zhang, Zhiyu; Pang, Yong; Guo, Zhifeng
收藏  |  浏览/下载:19/0  |  提交时间:2014/12/07
Application of rational function approximation technique to hybrid fe/bi/mlfma for 3d scattering 期刊论文  iSwitch采集
International journal of rf and microwave computer-aided engineering, 2007, 卷号: 17, 期号: 6, 页码: 521-532
作者:  
Peng, Zhen;  Sheng, Xin-Qing
收藏  |  浏览/下载:23/0  |  提交时间:2019/05/10