DocumentCode
1614063
Title
Parameters Optimization of Support Vector Machine Based on Simulated Annealing and Improved QPSO
Author
Wanling, Li ; Zhensheng, Wang ; Xiangjun, Song
Author_Institution
Ordnance Technol. Res. Inst., Shijiazhuang, China
fYear
2012
Firstpage
1089
Lastpage
1091
Abstract
To complete the parameters optimization of Support Vector Machine, the QPSO algorithm is improved, the method based on simulated Annealing and Improved QPSO is put forward, and UCI simulation is used to improve the classify precision of the Support Vector Machine.
Keywords
particle swarm optimisation; pattern classification; simulated annealing; support vector machines; Improved QPSO; QPSO algorithm; SVM; UCI simulation; parameter optimization; pattern classification; simulated annealing; support vector machine; Accuracy; Classification algorithms; Data models; Simulated annealing; Support vector machines; Temperature distribution; Improved QPSO; Parameters Optimization; SVM; Simulated Annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.288
Filename
6322577
Link To Document