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Proceedings Paper

Radial Basis Function network for handwritten digit recognition
Author(s): Bernard Lemarie
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Paper Abstract

We present an application of Radial Basis Function Networks to handwritten digits recognition. Inspired from regularization theory and Parzen windows non parametric estimator. Radial Basis Function networks are tested for a classification task. Reduction of the number of hidden nodes which is an important and necessary step to obtain a computationally tractable network is made using an original technique. A comparison is made with the k- nearest neighbor and Parzen windows methods. Results appear better for the network at a much lower computational cost.

Paper Details

Date Published: 2 September 1993
PDF: 8 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152566
Show Author Affiliations
Bernard Lemarie, Service de Recherche Technique de la Poste (France)


Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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