A NEW METHOD OF MULTI-SENSOR INFORMATION FUSION BASED ON SVM

被引：0

作者：

Li, Zhi-Xin ^{[1
]}

Ma, Yong-Guang ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Control Sci & Engn, Baoding 071003, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

SVM; Sensor; Information fusion; Sample; Regression function;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The support vector machine (SVM) is an algorithm based on structure risk minimizing principle, having high generalization ability. In the course of multi-sensor information fusion of industrial control, sensor has bigger nonlinearity and fuzzy relation between coefficient and relevant parameter. A kind of model and algorithm of multiple sensor information fusion based on the support vector machine are proposed. The model offered a kind of effective way for little sample, non- linear, high dimension.

引用

页码：925 / 929

页数：5

共 50 条

[1] A MULTI-SENSOR INFORMATION FUSION ALGORITHM BASED ON SVM
Adu, Jian-Hua
Hu, De-Kun
Peng, Hui
Tie, Ju-Hong
[J]. 2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008), 2008, : 40 - +
[2] Bearing fault diagnosis based on Multi-Sensor Information Fusion with SVM
Li, X. J.
Yang, D. L.
Jiang, L. L.
[J]. MECHANICAL ENGINEERING AND GREEN MANUFACTURING, PTS 1 AND 2, 2010, : 995 - 999
[3] Gear fault diagnosis based on SVM and multi-sensor information fusion
Jiang, Ling-Li
Liu, Yi-Lun
Li, Xue-Jun
Chen, An-Hua
[J]. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2010, 41 (06): : 2184 - 2188
[4] A new decentralized multi-sensor information fusion method based on opinion dynamics
Peng, Yuanhong
Wu, Xiaofeng
[J]. DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS, 2020, 12 : 669 - 676
[5] Fault diagnosis method based on multi-sensor information fusion
Zhao, Jianwei
Zhao, Jiang
Guo, Zhixin
[J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2007, 28 (SUPPL. 5): : 86 - 89
[6] Method Based on Interval Number for Multi-sensor Information Fusion
Wan, Shuping
[J]. 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2008, : 1517 - 1520
[7] Fusion Method for Uncertain Multi-sensor Information
Wan, Shuping
[J]. International Conference on Intelligent Computation Technology and Automation, Vol 1, Proceedings, 2008, : 1056 - 1060
[8] Multi-Sensor Fusion Method Based on Checking Unscented Information Fusion Algorithm
Liu, Zhiqiang
Zhang, Guanglin
Zheng, Yuewen
He, Xiaoyu
[J]. Qiche Gongcheng/Automotive Engineering, 2020, 42 (07): : 854 - 859
[9] Research on the Multi-sensor Information Fusion Method Based on Factor Graph
Chen, Weina
Zeng, Qinghua
Liu, Jianye
Chen, Leijiang
Wang, Huizhe
[J]. PROCEEDINGS OF THE 2016 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2016, : 502 - 506
[10] Multi-sensor Information Fusion Method Based on BP Neural Network
Lin Liandong
[J]. INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2016, 12 (05) : 53 - 57

← 1 2 3 4 5 →