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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共12条,第1-10条 帮助

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The improvement of sparsity gravity inversion using an adaptive lanczos bidiagonalization method 期刊论文  OAI收割
FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 10, 页码: 16
作者:  
Meng, Zhaohai;  Wang, Yanfei;  Li, Jinhui;  Li, Fengting;  Zhang, Zishan
  |  收藏  |  浏览/下载:30/0  |  提交时间:2023/03/30
Controller Optimization for Multirate Systems Based on Reinforcement Learning 期刊论文  OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 417-427
作者:  
Zhan Li;  Sheng-Ri Xue;  Xing-Hu Yu;  Hui-Jun Gao
  |  收藏  |  浏览/下载:12/0  |  提交时间:2021/02/22
LOW-RANK MATRIX ITERATION USING POLYNOMIAL-FILTERED SUBSPACE EXTRACTION 期刊论文  OAI收割
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2020, 卷号: 42, 期号: 3, 页码: A1686-A1713
作者:  
Li, Yongfeng;  Liu, Haoyang;  Wen, Zaiwen
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/09/23
A smoothing SQP framework for a class of composite minimization over polyhedron 期刊论文  OAI收割
MATHEMATICAL PROGRAMMING, 2016, 卷号: 158, 期号: 1-2, 页码: 467-500
作者:  
Liu, Ya-Feng;  Ma, Shiqian;  Dai, Yu-Hong;  Zhang, Shuzhong
  |  收藏  |  浏览/下载:47/0  |  提交时间:2018/07/30
Asymptotic Perturbation Bounds for Probabilistic Model Checking with Empirically Determined Probability Parameters 期刊论文  OAI收割
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2016, 卷号: 42, 期号: 7, 页码: 623-639
作者:  
Su, Guoxin;  Feng, Yuan;  Chen, Taolue;  Rosenblum, David S.
  |  收藏  |  浏览/下载:33/0  |  提交时间:2018/07/30
A parallel line searchsubspace correction method for composite convex optimization 期刊论文  OAI收割
journaloftheoperationsresearchsocietyofchina, 2015, 卷号: 3, 期号: 2, 页码: 163
作者:  
Dong Qian;  Liu Xin;  Wen Zaiwen;  Yuan Yaxiang
  |  收藏  |  浏览/下载:26/0  |  提交时间:2021/01/14
Additive block diagonal preconditioning for block two-by-two linear systems of skew-Hamiltonian coefficient matrices 期刊论文  OAI收割
NUMERICAL ALGORITHMS, 2013, 卷号: 62, 期号: 4, 页码: 655-675
作者:  
Bai ZZ;  Chen F(陈芳);  Wang ZQ
收藏  |  浏览/下载:26/0  |  提交时间:2013/05/03
An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis 期刊论文  OAI收割
SENSORS, 2013, 卷号: 13, 期号: 2, 页码: 2076-2092
作者:  
Lei, Jing;  Liu, Shi;  Wang, Xueyao;  Liu, Qibin
收藏  |  浏览/下载:26/0  |  提交时间:2015/10/23
Preconditioned MHSS iteration methods for a class of block two-by-two linear systems with applications to distributed control problems 期刊论文  OAI收割
IMA JOURNAL OF NUMERICAL ANALYSIS, 2013, 卷号: 33, 期号: 1, 页码: 343-369
作者:  
Bai ZZ;  Benzi M;  Chen F(陈芳);  Wang ZQ
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
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:22/0  |  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.