Performance analysis and comparison of neural networks and support vector machines classifier

Abstract

The theory foundation and classification algorithm of neural networks (NN) and support vector machines (SVM) are researched and compared from their conceptual constructs to basic mathematical reasons, on the basis of which the SVM classification system and the NN classification system are constructed respectively. The performances of the two classification systems are tested on two sets of benchmark data, and the SVM classification system shows better performance in binary classification tasks.