Clasificador No Lineal Basado en Redes Neuronales con Funciones de Base Radial para Implementación en Sistemas de Punto Fijo

  • Juan S. Botero-Valencia Instituto Tecnológico Metropolitano, Medellín
  • Luis G. Sánchez-Giraldo University of Florida, Gainesville
  • Edilson Delgado-Trejos Instituto Tecnológico Metropolitano, Medellín
Keywords: Neural network, classifier, centroid, radial basis, fixed point.

Abstract

Implementation of intelligent machines requires of efficient classification systems under limited computational resources. Thisstudy introduces a method for estimating the parameters of Radial Basis Function Neural Network (RBF-NN) that can be implemented on a fixed point processor. First, the number of hidden nodes is chosen based on statistics of the mapped data points. A k-means search is then carried out to determine the location of each node. The hidden units mapping corresponds to the Euclidean distance of their centers to each data point, the weights of the output sum are obtained by solving a linear least squares problem. With this procedure, a low computational cost classifier can be readily implemented on a low capacity platform for real time applications.

Author Biographies

Juan S. Botero-Valencia, Instituto Tecnológico Metropolitano, Medellín
Ingeniero Electrónico. Estudiante de Maestría en Automatización y Control Industrial. Auxiliar de investigación. Instituto Tec nológico Metropolitano, Medellín
Luis G. Sánchez-Giraldo, University of Florida, Gainesville
Ingeniero Electrónico. M. Sc. en Automatización Industrial, PhD Student Electrical and Computer Engineering Department University of Florida, Gainesville
Edilson Delgado-Trejos, Instituto Tecnológico Metropolitano, Medellín
Ingeniero Electrónico. M. Sc. en Automatización Industrial. Ph. D. en Ingeniería LI Automática. Académico Investigador del Centro de Investigación, Instituto Tecnológico Metropolitano, Medellín
How to Cite
Botero-Valencia, J. S., Sánchez-Giraldo, L. G., & Delgado-Trejos, E. (2009). Clasificador No Lineal Basado en Redes Neuronales con Funciones de Base Radial para Implementación en Sistemas de Punto Fijo. TecnoLógicas, (22), 11-28. https://doi.org/10.22430/22565337.223

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Published
2009-06-27
Section
Articles

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