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Article:Genetic Algorithm based Comparison of Different SVM
by
Subhash Chandra Pandey,
G.C. Nandi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 6 - Number 8 |
| Year of Publication: 2010 |
| Authors: Subhash Chandra Pandey, G.C. Nandi |
10.5120/1093-1084
|
Subhash Chandra Pandey, G.C. Nandi . Article:Genetic Algorithm based Comparison of Different SVM. International Journal of Computer Applications. 6, 8 ( September 2010), 34-41. DOI=10.5120/1093-1084
@article{
10.5120/1093-1084,
author = {
Subhash Chandra Pandey,
G.C. Nandi
},
title = { Article:Genetic Algorithm based Comparison of Different SVM },
journal = {
International Journal of Computer Applications
},
issue_date = { September 2010 },
volume = { 6 },
number = { 8 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = {
34-41
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume6/number8/1093-1084/
},
doi = { 10.5120/1093-1084 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:54.870710+05:30
%A Subhash Chandra Pandey
%A G.C. Nandi
%T Article:Genetic Algorithm based Comparison of Different SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 8
%P 34-41
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The SVM has recently been introduced as a new learning technique for solving variety of real world applications based on learning theory. The classical RBF network has similar structure as SVM with Gaussian kernel. Similarly, the FNN also possess an identical structure with SVM. The support vector machine includes polynomial learning machine, radial-basis function network, Gaussian radial-basis function network, and two layer perceptron as special cases.
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