Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classification

Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classification

In this paper, we introduce a new kernel function for improving the accuracy of the Support Vector Machines (SVMs) classification. The proposed kernel function is stated in general form and is called Gaussian Radial Basis Polynomials Function (GRPF) that combines both Gaussian Radial Basis Function...

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Bibliographic Details
Main Author: E.A. Zanaty
Format: Article
Language:English
Published: Elsevier 2012-11-01
Series:Egyptian Informatics Journal
Subjects:
Neural networks
Support vector machine
Kernel functions
Quadratic Programming (QP)
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866512000345

Internet

http://www.sciencedirect.com/science/article/pii/S1110866512000345

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