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
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;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.288
