scholarly journals Fast Training of Support Vector Machines and Performance Comparison with Fuzzy Classifiers

2002 ◽  
Vol 15 (1) ◽  
pp. 25-33
Author(s):  
Takuya INOUE ◽  
Takahiro UEOKA ◽  
Hisashi TAMAKI ◽  
Shigeo ABE
Keyword(s):  
Support Vector Machines ◽  
Performance Comparison ◽  
Support Vector ◽  
Fast Training ◽  
Vector Machines ◽  
Fuzzy Classifiers ◽  
And Performance

Provably Fast Training Algorithms for Support Vector Machines

2008 ◽  
Vol 42 (4) ◽  
pp. 568-595 ◽  
Author(s):  
José L. Balcázar ◽  
Yang Dai ◽  
Junichi Tanaka ◽  
Osamu Watanabe
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Training Algorithms ◽  
Fast Training ◽  
Vector Machines

Optimization of Kernel Function Parameters SVM Based on the GA

2012 ◽  
Vol 433-440 ◽  
pp. 4124-4128 ◽  
Author(s):  
Jian Hua Zhang
Keyword(s):  
Support Vector Machines ◽  
Image Recognition ◽  
Kernel Function ◽  
Support Vector ◽  
Vector Machines ◽  
And Performance

That Support Vector Machines applies to image recognition have good results，But the kernel function C and parameters of the SVM which influence the result and performance has not been decided. Against this question, this paper bring forward a new algorithm that combines SVM with GA to classify and uses GA to select excellent kernel function, the results of experiment show Image Recognition based on SVM and GA are effective.

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