A Multi-classification Method of Temporal Data Based on Support Vector Machine

2007 ◽  
pp. 240-249
Author(s):  
Zhiqing Meng ◽  
Lifang Peng ◽  
Gengui Zhou ◽  
Yihua Zhu
Keyword(s):  
Support Vector Machine ◽  
Classification Method ◽  
Support Vector ◽  
Temporal Data ◽  
Multi Classification

scholarly journals A Multi-Classification Method of Improved SVM-based Information Fusion for Traffic Parameters Forecasting

2016 ◽  
Vol 28 (2) ◽  
pp. 117-124 ◽  
Author(s):  
Hongzhuan Zhao ◽  
Dihua Sun ◽  
Min Zhao ◽  
Senlin Cheng
Keyword(s):  
Support Vector Machine ◽  
Information Fusion ◽  
Binary Tree ◽  
Classification Method ◽  
Traffic Information ◽  
Support Vector ◽  
Cyber Physical System ◽  
Svm Classification ◽  
Forecasting Performance ◽  
Multi Classification

With the enrichment of perception methods, modern transportation system has many physical objects whose states are influenced by many information factors so that it is a typical Cyber-Physical System (CPS). Thus, the traffic information is generally multi-sourced, heterogeneous and hierarchical. Existing research results show that the multisourced traffic information through accurate classification in the process of information fusion can achieve better parameters forecasting performance. For solving the problem of traffic information accurate classification, via analysing the characteristics of the multi-sourced traffic information and using redefined binary tree to overcome the shortcomings of the original Support Vector Machine (SVM) classification in information fusion, a multi-classification method using improved SVM in information fusion for traffic parameters forecasting is proposed. The experiment was conducted to examine the performance of the proposed scheme, and the results reveal that the method can get more accurate and practical outcomes.

scholarly journals Multi-class Classification Method of Support Vector Machine Based on Error Correction Coding

2021 ◽  
Author(s):  
Li Junfei ◽  
Zhao Longhai
Keyword(s):  
Support Vector Machine ◽  
Error Correction ◽  
Classification Method ◽  
Radiation Environment ◽  
Support Vector ◽  
Single Event ◽  
Error Correction Coding ◽  
Multi Class Classification ◽  
Multi Classification ◽  
Space Radiation Environment

Abstract In the space radiation environment, there will be many errors in the multi-classification results of support vector machine which caused by single event flipping , the ability of correcting classification errors through error correction coding is studied in this paper, results of simulation confirm that error correction coding can increase the accuracy ,which is beneficial for anti-single event flip.

Twi-Map Support Vector Machine for Multi-classification Problems

2005 ◽  
pp. 869-874 ◽  
Author(s):  
Zhifeng Hao ◽  
Bo Liu ◽  
Xiaowei Yang ◽  
Yanchun Liang ◽  
Feng Zhao
Keyword(s):  
Support Vector Machine ◽  
Support Vector ◽  
Classification Problems ◽  
Multi Classification

scholarly journals A two-stage classification method for borehole-wall images with support vector machine

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0199749
Author(s):  
Zhaopeng Deng ◽  
Maoyong Cao ◽  
Laxmisha Rai ◽  
Wei Gao
Keyword(s):  
Support Vector Machine ◽  
Borehole Wall ◽  
Classification Method ◽  
Support Vector ◽  
Two Stage ◽  
Stage Classification

Classification method based on global and local support vector machine

2018 ◽  
Author(s):  
Liming Liu ◽  
Maoxiang Chu ◽  
Rongfen Gong ◽  
Dapeng Xu
Keyword(s):  
Support Vector Machine ◽  
Classification Method ◽  
Support Vector ◽  
Local Support ◽  
Global And Local
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