Face Recognition Based on Radial Basis Function Neural Networks using Subtractive Clustering Algorithm

Abstract

We propose a new method for learning of radial basis function (RBF) neural networks which is based on subtractive clustering algorithm (SCA) and its application to face recognition. The rationale behind the method learning center parameters of RBF by means of SCA is that, for SCA, number of data points and calculation is irrelevant to the dimension of the… (More)

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Cite this paper

@article{Dang2006FaceRB, title={Face Recognition Based on Radial Basis Function Neural Networks using Subtractive Clustering Algorithm}, author={Jianwu Dang and Yangping Wang and Shuxu Zhao}, journal={2006 6th World Congress on Intelligent Control and Automation}, year={2006}, volume={2}, pages={10294-10297} }