中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共9条,第1-9条 帮助

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Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 99-110
作者:  
Yang Yu;  Zhenyu Lei;  Yirui Wang;  Tengfei Zhang;  Chen Peng
  |  收藏  |  浏览/下载:108/0  |  提交时间:2021/11/03
A Study on Scale Free Social Network Evolution Model with Degree Exponent < 2 期刊论文  OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2020, 卷号: 33, 期号: 1, 页码: 87-99
作者:  
Li, Zhenpeng;  Tang, Xijin
  |  收藏  |  浏览/下载:27/0  |  提交时间:2020/05/24
Structural Decomposition Model for the Evolution of AS-Level Internet Topologies 期刊论文  OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 175277-175296
作者:  
Jiao, Bo;  Zhang, Wensheng
  |  收藏  |  浏览/下载:15/0  |  提交时间:2021/01/07
A Study on Scale Free Social Network Evolution Model with Degree Exponent <2 期刊论文  OAI收割
Journal of Systems Science and Complexity, 2020, 卷号: 33, 期号: 1, 页码: 87-99
作者:  
Li Zhenpeng;  Tang Xijin
  |  收藏  |  浏览/下载:36/0  |  提交时间:2021/01/14
IMMUNIZATION FOR COMPLEX NETWORK BASED ON THE EFFECTIVE DEGREE OF VERTEX 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2012, 卷号: 26
作者:  
Hu, Ke;  Tang, Yi
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/07/05
Structures and dynamics of scientific knowledge networks: An empirical analysis based on a co-word network 期刊论文  OAI收割
chinese journal of library and information science, 2010, 卷号: 3, 期号: 3, 页码: 19-36
WANG Xiaoguang; JIANG Tingting; LI Xiaoyu
收藏  |  浏览/下载:23/0  |  提交时间:2012/09/18
Impact of network topology on decision-making 期刊论文  OAI收割
NEURAL NETWORKS, 2009, 卷号: 22, 期号: 1, 页码: 30-40
Lu, Suojun; Fang, Jian'an; Guo, Aike; Peng, Yueqing
收藏  |  浏览/下载:20/0  |  提交时间:2012/07/23
Immunization for scale-free networks by random walker 期刊论文  OAI收割
CHINESE PHYSICS, 2006, 卷号: 15, 页码: 2782-2787
作者:  
Hu Ke;  Tang Yi
  |  收藏  |  浏览/下载:16/0  |  提交时间:2018/05/31
Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE) 会议论文  OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者:  
Li W.;  Li W.;  Zhang H.;  Zhang H.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales  a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse  Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis  multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.