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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共11条,第1-10条 帮助

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Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters 期刊论文  OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 3, 页码: 547-559
作者:  
Wu, Bo;  Cheng, Wen-Huang;  Zhang, Yongdong;  Cao, Juan;  Li, Jintao
  |  收藏  |  浏览/下载:20/0  |  提交时间:2020/12/10
The Propagation Background in Social Networks: Simulating and Modeling 期刊论文  OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 353-363
作者:  
Kai Li;  Tong Xu;  Shuai Feng;  Li-Sheng Qiao;  Hua-Wei Shen
  |  收藏  |  浏览/下载:16/0  |  提交时间:2021/02/22
The Propagation Background in Social Networks:Simulating and Modeling 期刊论文  OAI收割
国际自动化与计算杂志:英文版, 2020, 卷号: 17.0, 期号: 003, 页码: 353
作者:  
Kai Li;  Tong Xu;  Shuai Feng;  LiSheng Qiao;  HuaWei Shen
  |  收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters 期刊论文  OAI收割
APPLIED MATHEMATICAL MODELLING, 2019, 卷号: 75, 页码: 349-370
作者:  
Luo Y;  Wang RX(王睿星)
  |  收藏  |  浏览/下载:66/0  |  提交时间:2019/11/25
Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2018, 卷号: 38, 期号: 1, 页码: 34-41
作者:  
Li, Lifang;  Zhang, Qingpeng;  Tian, Jun;  Wang, Haolin
  |  收藏  |  浏览/下载:27/0  |  提交时间:2018/03/15
A Method for Debris Flows Hazard Assessment –A Case Study in Shenxi Gully 期刊论文  OAI收割
Electronic Journal of Geotechnical Engineering, 2014, 卷号: 19, 期号: Z2, 页码: 9897-9904
作者:  
Yan Yu;  Guoqiang Ou;  Jun Wang;  Cheng Qiao
收藏  |  浏览/下载:32/0  |  提交时间:2015/04/15
An improved hyperspectral classification algorithm based on back-propagation neural networks (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:  
Yu P.;  Yu P.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.  
SPOT natural-color simulation with spectrum analysis 期刊论文  OAI收割
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University, 2009, 卷号: 34, 期号: 12, 页码: 1436-1439
Shen; Yang; Luo; Shen; Jinxiang1; Liao1; Jiancheng2; Zhanfeng2; 2; 3
收藏  |  浏览/下载:15/0  |  提交时间:2011/08/19
A new method of surface modeling and its application to DEM construction SCI/SSCI论文  OAI收割
2007
Yue T. X.; Du Z. P.; Song D. J.; Gong Y.
收藏  |  浏览/下载:26/0  |  提交时间:2012/06/08
Phase effects on group velocity propagation in a V-type system with spontaneously generated coherence 期刊论文  OAI收割
j. mod. opt., 2007, 卷号: 54, 期号: 4, 页码: 493, 500
Han Dingan; Zeng Yaguang; 白岩峰; Chen Weicheng; Lu Hong
收藏  |  浏览/下载:984/182  |  提交时间:2009/09/18