@article{(Open Science Index):https://publications.waset.org/pdf/5807,
	  title     = {Genetic Folding: Analyzing the Mercer-s Kernels Effect in Support Vector Machine using Genetic Folding},
	  author    = {Mohd A. Mezher and  Maysam F. Abbod},
	  country	= {},
	  institution	= {},
	  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-s
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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {3},
	  year      = {2011},
	  pages     = {347 - 352},
	  ee        = {https://publications.waset.org/pdf/5807},
	  url   	= {https://publications.waset.org/vol/51},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 51, 2011},