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浏览/检索结果: 共10条，第1-10条 帮助

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How territorial function determines CO2 emissions in China: An approach of spatial dimension 期刊论文  OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2024, 卷号: 34, 期号: 9, 页码: 1677-1696
作者:  Fan, Jie;  Wang, Zheng;  Zhou, Daojing;  Guo, Rui;  Chen, Dong
  |  收藏  |  浏览/下载：15/0  |  提交时间：2024/10/21
How territorial function determines CO2 emissions in China: An approach of spatial dimension 期刊论文  OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2024, 卷号: 34, 期号: 9, 页码: 1677-1696
作者:  Fan, Jie;  Wang, Zheng;  Zhou, Daojing;  Guo, Rui;  Chen, Dong
  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/11/28
A preliminary analysis of the mining-induced rock movement characteristics in the Xinli deposit of the Sanshandao gold mine 期刊论文  OAI收割
FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 10, 页码: 13
作者:  Liu, Jia;  Ma, Fengshan;  Guo, Jie;  Li, Guang;  Song, Yewei
  |  收藏  |  浏览/下载：28/0  |  提交时间：2023/03/29
Exact solutions of a multi-component anyon model with SU (N) invariance 期刊论文  OAI收割
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2012, 卷号: 45, 期号: 4
Yao, YL; Cao, JP; Li, GL; Fan, H
收藏  |  浏览/下载：35/0  |  提交时间：2013/09/17
Hidden Sp(2s+1)- or SO(2s+1)-symmetry and new exactly solvable models in ultracold atomic systems 期刊论文  OAI收割
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2011, 卷号: 44, 期号: 34
Jiang, YZ; Cao, JP; Wang, YP
收藏  |  浏览/下载：132/0  |  提交时间：2013/09/17
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：21/0  |  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.  
Hausdorff dimension of generalized statistically self-affine fractals 期刊论文  OAI收割
ACTA MATHEMATICA SCIENTIA, 2004, 卷号: 24, 期号: 3, 页码: 421-433
作者:  Yu, JG;  Ding, LX
收藏  |  浏览/下载：21/0  |  提交时间：2015/07/15
An improvement of Papadakis' theorem 期刊论文  OAI收割
PROGRESS IN NATURAL SCIENCE, 2004, 卷号: 14, 期号: 5, 页码: 448-452
作者:  Zhang, ZH;  Mu, LH;  Zhang, PX
  |  收藏  |  浏览/下载：17/0  |  提交时间：2018/07/30
Two-phase flow in correlated pore-throat random porous media 期刊论文  OAI收割
Chinese Physics, 2002, 卷号: 11, 期号: 4, 页码: 358-365
J. P. Tian; K. L. Yao
收藏  |  浏览/下载：23/0  |  提交时间：2012/04/14
The Hausdorff dimension of graph of a class of Weierstrass functions 期刊论文  OAI收割
PROGRESS IN NATURAL SCIENCE, 1996, 卷号: 6, 期号: 5, 页码: 547-553
作者:  Sun, DC;  Wen, ZY
  |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30