@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}, }