Back-Propagation and K-Means Algorithms Comparison

Abstract

The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (multi layer perceptron) and RBF (radial basis function) neural networks were used. We compared results obtained by a using of learning algorithms back-propagation (BP) and K-means. The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology