Median M-Type Radial Basis Function Neural Network

  • José A. Moreno-Escobar
  • Francisco J. Gallegos-Funes
  • Volodymyr I. Ponomaryov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)


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


Radial Basis Functions Rank M-type estimators Neural Networks 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • José A. Moreno-Escobar
    • 1
  • Francisco J. Gallegos-Funes
    • 1
  • Volodymyr I. Ponomaryov
    • 2
  1. 1.National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Av. IPN s/n, U.P.A.L.M. SEPI-ESIME, Edif. Z, Acceso 3, Tercer Piso, Col. Lindavista, 07738, Mexico, D. F.Mexico
  2. 2.National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Av. Santa Ana 1000, Col. San Francisco Culhuacan, 04430, Mexico, D. F.Mexico

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