Genetic Folding: Analyzing the Mercer's Kernels Effect in Support Vector Machine using Genetic Folding

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{Mezher:2011:IJCIE,

• author = "Mohd A. Mezher and Maysam F. Abbod",
• title = "Genetic Folding: Analyzing the {Mercer's} Kernels Effect in Support Vector Machine using Genetic Folding",
• journal = "International Journal of Computer and Information Engineering",
• year = "2011",
• volume = "5",
• number = "3",
• pages = "347--352",
• keywords = "genetic algorithms, genetic programming, Genetic Folding, GF, Evolutionary Algorithms, Support Vector Machine, Multi-Classification, Mercer Rules",
• publisher = "World Academy of Science, Engineering and Technology",
• index = "Open Science Index 51, 2011",
• ISSN = "1307-6892",
• URL = "https://publications.waset.org/vol/51",
• bibsource = "https://publications.waset.org/",
• URL = "https://publications.waset.org/pdf/5807",
• URL = "https://publications.waset.org/5807/pdf",
• size = "6 pages",
• abstract = "Genetic Folding (GF) a new class of EA named as is introduced for the first time. It is based on chromosomes composed of floating genes structurally organized in a parent form and separated by dots. Although, the genotype/phenotype system of GF generates a kernel expression, which is the objective function of superior classifier. In this work the question of the satisfying mapping-s rules in evolving populations is addressed by analyzing populations undergoing either Mercer-s or none Mercer-s rule. The results presented here show that populations undergoing Mercer rules improve practically models selection of Support Vector Machine (SVM). The experiment is trained multi-classification problem and tested on nonlinear Ionosphere dataset. The target of this paper is to answer the question of evolving Mercer-s rule in SVM addressed using either genetic folding satisfied kernel-s rules or not applied to complicated domains and problems.",
• notes = "Also known as \cite{(Open Science Index):https://publications.waset.org/pdf/5807}",

}

Genetic Programming entries for Mohd A Mezher Maysam F Abbod

Citations