Abstract
In this paper we present the capability of the Median M-Type Radial Basis Function (MMRBF) Neural Network in image classification applications. The proposed neural network uses the Median M-type (MM) estimator in the scheme of radial basis function to train the neural network. Other RBF based algorithms were compared with our approach. From simulation results we observe that the MMRBF neural network has better classification capabilities. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Moreno-Escobar, J. A., Gallegos-Funes, F. J., & Ponomaryov, V. I. (2007). Median M-type radial basis function neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4756 LNCS, pp. 525–533). https://doi.org/10.1007/978-3-540-76725-1_55
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