中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共21条,第1-10条 帮助

条数/页: 排序方式:
Discontinuity Capture in One-Dimensional Space Using the Numerical Manifold Method with High-Order Legendre Polynomials 期刊论文  OAI收割
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 24, 页码: 16
作者:  
Zeng, Yan;  Zheng, Hong;  Li, Chunguang
  |  收藏  |  浏览/下载:17/0  |  提交时间:2021/05/25
“一带一路”沿线主要国家碳捕集、利用和封存潜力与前景研究 期刊论文  OAI收割
气候变化研究进展, 2020, 卷号: 16, 期号: 5, 页码: 609
作者:  
孙丽丽;  崔惠娟;  葛全胜
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/03/16
Survey on research and development of on-orbit active debris removal methods 期刊论文  OAI收割
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 卷号: 63, 期号: 11, 页码: 2188–2210
作者:  
Zhao PY(赵鹏远);  Liu JG(刘金国);  Wu CC(吴晨晨)
  |  收藏  |  浏览/下载:30/0  |  提交时间:2020/10/18
“一带一路”沿线主要国家碳捕集、利用和封存潜力与前景研究 期刊论文  OAI收割
气候变化研究进展, 2020, 卷号: 16, 期号: 5, 页码: 609
作者:  
孙丽丽;  崔惠娟;  葛全胜
  |  收藏  |  浏览/下载:10/0  |  提交时间:2021/03/16
Synthesis of Two-dimensional Microporous Carbonaceous Polymer Nanosheets and Their Application as High-performance CO2 Capture Sorbent 期刊论文  OAI收割
CHEMISTRY-AN ASIAN JOURNAL, 2016, 卷号: 11, 期号: 12, 页码: 1849-1855
作者:  
Zhang, Miao;  Liu, Lin;  He, Teng;  Wu, Guotao;  Chen, Ping
  |  收藏  |  浏览/下载:21/0  |  提交时间:2019/06/20
Synthesis of two-dimensional microporous carbonaceous polymer nanosheets and their application as high-performance co2 capture sorbent 期刊论文  iSwitch采集
Chemistry-an asian journal, 2016, 卷号: 11, 期号: 12, 页码: 1849-1855
作者:  
Zhang, Miao;  Liu, Lin;  He, Teng;  Wu, Guotao;  Chen, Ping
收藏  |  浏览/下载:23/0  |  提交时间:2019/05/09
Historical review on the roles of mathematics in the study of aerodynamics 图书章节  OAI收割
2014
作者:  
Li JC(李家春)
  |  收藏  |  浏览/下载:14/0  |  提交时间:2020/11/19
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:31/0  |  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.  
Solving the Euler and Navier-Stokes equations by the AMR-CESE method 期刊论文  OAI收割
COMPUTERS & FLUIDS, 2012, 卷号: 54, 页码: 105-117
作者:  
Jiang, Chaowei;  Cui, Shuxin;  Feng, Xueshang
收藏  |  浏览/下载:23/0  |  提交时间:2014/12/15
The development of an evaluation method for capture columns used in two-dimensional liquid chromatography 期刊论文  OAI收割
analytica chimica acta, 2011, 卷号: 706, 期号: 1, 页码: 184-190
作者:  
Cao, Liwei;  Yu, Danhua;  Wang, Xinliang;  Ke, Yanxiong;  Jin, Yu
收藏  |  浏览/下载:24/0  |  提交时间:2012/07/09