MLP and SVM networks - a comparative study
S. Osowski, Krzysztof Siwek, Tomasz Markiewicz · Nordic Signal Processing Symposium · 2004
The paper presents the comparative analysis of two most important neural networks: the multilayer perceptron (MLP) and Support Vector Machine (SVM). The most effective learning algorithms have been implemented in an uniform way using Matlab platform and undergone the comparison with respect to the complexity of the structure as well as the accuracy and the calculation time for the solution of different learning tasks, including classification, prediction and regression. The results of numerical experiments are given and discussed in the paper.