TY - GEN
T1 - Radial basis function neural network based on order statistics
AU - Moreno-Escobar, Jose A.
AU - Gallegos-Funes, Francisco J.
AU - Ponomaryov, Volodymyr
AU - De-la-Rosa-Vazquez, Jose M.
PY - 2007
Y1 - 2007
N2 - In this paper we present a new type of Radial Basis Function (RBF) Neural Network based in order statistics for 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. The proposed network is less biased by the presence of outliers in the training set and was proved an accurate estimation of the implied probabilities. From simulation results we show that the proposed neural network has better classification capabilities in comparison with other RBF based algorithms.
AB - In this paper we present a new type of Radial Basis Function (RBF) Neural Network based in order statistics for 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. The proposed network is less biased by the presence of outliers in the training set and was proved an accurate estimation of the implied probabilities. From simulation results we show that the proposed neural network has better classification capabilities in comparison with other RBF based algorithms.
UR - http://www.scopus.com/inward/record.url?scp=38149015383&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-76631-5_15
DO - 10.1007/978-3-540-76631-5_15
M3 - Contribución a la conferencia
SN - 9783540766308
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 150
EP - 160
BT - MICAI 2007
PB - Springer Verlag
T2 - 6th Mexican International Conference on Artificial Intelligence, MICAI 2007
Y2 - 4 November 2007 through 10 November 2007
ER -