TY - GEN
T1 - Median M-type radial basis function neural network
AU - Moreno-Escobar, José A.
AU - Gallegos-Funes, Francisco J.
AU - Ponomaryov, Volodymyr I.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Neural networks
KW - Radial basis functions
KW - Rank M-type estimators
UR - http://www.scopus.com/inward/record.url?scp=38449112670&partnerID=8YFLogxK
M3 - Contribución a la conferencia
SN - 9783540767244
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 525
EP - 533
BT - Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings
T2 - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007
Y2 - 13 November 2007 through 16 November 2007
ER -