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An effective method for laboratory acoustic emission detection and location using template matching 期刊论文  OAI收割
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2022, 卷号: 14, 期号: 5, 页码: 1642
作者:  
Lei, Xinglin
  |  收藏  |  浏览/下载:8/0  |  提交时间:2023/08/02
Detection Analysis of Epileptic EEG Using a Novel Random Forest Mode Combined With Grid Search Optimization 期刊论文  OAI收割
FRONTIERS IN HUMAN NEUROSCIENCE, 2019, 卷号: 13
作者:  
Wang, Xiashuang;  Gong, Guanghong;  Li, Ni;  Qiu, Shi
  |  收藏  |  浏览/下载:72/0  |  提交时间:2019/03/20
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:19/0  |  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.  
A statistical examination of the Fry method of strain analysis 期刊论文  OAI收割
JOURNAL OF STRUCTURAL GEOLOGY, 2011, 卷号: 33, 期号: 5, 页码: 1000-1009
作者:  
Shan, Yehua;  Xiao, Wenjiao
  |  收藏  |  浏览/下载:12/0  |  提交时间:2018/09/26
A statistical examination of the Fry method of strain analysis 期刊论文  OAI收割
JOURNAL OF STRUCTURAL GEOLOGY, 2011, 卷号: 33, 期号: 5, 页码: 1000-1009
作者:  
Shan, Yehua;  Xiao, Wenjiao
  |  收藏  |  浏览/下载:16/0  |  提交时间:2018/09/26
Research on massive and distributed spatial information collaborative search engine based on grid 会议论文  OAI收割
2010 18th International Conference on Geoinformatics, Geoinformatics 2010,, Beijing, China, June 18, 2010 - June 20,2010
Zhang, Jianbing; Yang, Chongjun; Zhu, YePing; Ren, YingChao
收藏  |  浏览/下载:42/0  |  提交时间:2014/12/07
Comparison of the A-C-c curve fitting methods in determining maximum ribulose 1.5-bisphosphate carboxylase/oxygenase carboxylation rate, potential light saturated electron transport rate and leaf dark respiration 期刊论文  OAI收割
PLANT CELL AND ENVIRONMENT, 2009, 卷号: 32, 期号: 2, 页码: 109-122
作者:  
Miao, Zewei;  Xu, Ming;  Lathrop, Richard G., Jr.;  Wang, Yufei
  |  收藏  |  浏览/下载:22/0  |  提交时间:2019/09/26
Comparison of the A-C-c curve fitting methods in determining maximum ribulose 1.5-bisphosphate carboxylase/oxygenase carboxylation rate, potential light saturated electron transport rate and leaf dark respiration 期刊论文  OAI收割
PLANT CELL AND ENVIRONMENT, 2009, 卷号: 32, 期号: 2, 页码: 109-122
作者:  
Miao, Zewei;  Xu, Ming;  Lathrop, Richard G., Jr.;  Wang, Yufei
  |  收藏  |  浏览/下载:15/0  |  提交时间:2019/09/26
Comparison of the A-C-c curve fitting methods in determining maximum ribulose 1.5-bisphosphate carboxylase/oxygenase carboxylation rate, potential light saturated electron transport rate and leaf dark respiration 期刊论文  OAI收割
PLANT CELL AND ENVIRONMENT, 2009, 卷号: 32, 期号: 2, 页码: 109-122
作者:  
Miao, Zewei;  Xu, Ming;  Lathrop, Richard G., Jr.;  Wang, Yufei
  |  收藏  |  浏览/下载:9/0  |  提交时间:2019/09/26
Comparison of the A-C(c) curve fitting methods in determining maximum ribulose 1.5-bisphosphate carboxylase/oxygenase carboxylation rate, potential light saturated electron transport rate and leaf dark respiration SCI/SSCI论文  OAI收割
2009
作者:  
Xu M.
收藏  |  浏览/下载:16/0  |  提交时间:2012/06/08