A View of Support Vector Machines Algorithm on Classification Problems

Support vector machine (SVM) algorithm has shown a good learning ability and generalization ability in classification, regression and forecasting. This paper mainly analyzes the the performance of support vector machine algorithm in the classification problem, including the algorithm in the kernel function selection, parameter optimization, and integration of other algorithms and to deal with multi-classification issues improvements. Concludes with a discussion of the SVM algorithm is the direction of further improvement.