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浏览/检索结果: 共6条,第1-6条 帮助

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Accelerated Primal-Dual Projection Neurodynamic Approach with time Scaling for Linear and set Constrained Convex Optimization Problems 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1485-1498
作者:  
You Zhao;  Xing He;  Mingliang Zhou;  Tingwen Huang
  |  收藏  |  浏览/下载:10/0  |  提交时间:2024/05/22
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 496-509
作者:  
Ruhul Amin Khalil;  Nasir Saeed;  Mohammad Inayatullah Babar;  Tariqullah Jan;  Sadia Din
  |  收藏  |  浏览/下载:30/0  |  提交时间:2022/03/09
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest 期刊论文  OAI收割
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 252
作者:  
Zheng, Zhaoju;  Zeng, Yuan;  Schneider, Fabian D.;  Zhao, Yujin;  Zhao, Dan
  |  收藏  |  浏览/下载:10/0  |  提交时间:2023/02/24
Growing Urbanization and the Impact on Fine Particulate Matter (PM2.5) Dynamics 期刊论文  OAI收割
SUSTAINABILITY, 2018, 卷号: 10, 期号: 6, 页码: -
作者:  
Han, Lijian;  Zhou, Weiqi;  Li, Weifeng
  |  收藏  |  浏览/下载:26/0  |  提交时间:2019/06/17
Scaling up ecosystem productivity from patch to landscape: a case study of Changbai Mountain Nature Reserve, China SCI/SSCI论文  OAI收割
2007
Zhang N.; Yu Z. L.; Yu G. R.; Wu J. G.
收藏  |  浏览/下载:27/0  |  提交时间:2012/06/08
An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Chuan W.; Ming Z.; Dong Y.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling  shifting  rotation if eigenvectors can not be chosen appropriately. In order to solve this problem  the image is edged  the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively  correctly and quickly.