Radial Basis Function network for handwritten digit recognition

Bernard Lemarie

doi:10.1117/12.152566

2 September 1993 Radial Basis Function network for handwritten digit recognition

Bernard Lemarie

Proceedings Volume 1965, Applications of Artificial Neural Networks IV; (1993) https://doi.org/10.1117/12.152566
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Bernard Lemarie "Radial Basis Function network for handwritten digit recognition", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152566

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