Swot Analysis : ' Svm ( Support Vector Machine ) Essay

985 Words Nov 19th, 2016 4 Pages
Abstract- SVM(Support vector machine) is Mainly established for linear two-class classification through building an optimal splitting hyper plane, here the margin is maximized. SVM is useful for kernel trick to map the novel input space into a high dimensional feature space to improve the classifier generalization ability when the training data is not linear splitable. GA(Genetic Algorithm) is a stochastic and the empirical searching algorithm that is stimulated by natural evolution. The candidate solutions are encoded to a group of strings (called chromosomes) by some kind of encoding method in the evolution.The best candidate solution is obtained after a series of iterative GA computations Based on Darwins principle of “Survival of the fittest". The GA consists of the elementary process of Selection, Crossover & Mutation, In each process of iteration (called generation). The fitness function is used to assess the eminence of every individual comes out of the chromosomes in the Genetic Algorithm. More fitness individuals are easier to be inherited to the next generation. We are trying to create a classification of the objects such that it will be closer to the original image by using GA along with SVM. This is a modest effort to build identification easier.
Keywords: SVM(Support Vector Machine), GA(Genetic Algorithm), Classifier I. INTRODUCTION
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