Active learning for probabilistic neural networks

Authors:
Bülent Bolat;Tülay Yıldırım
Affiliations:
Dept. of Electronics and Communications Eng., Yildiz Technical University, Besiktas, Istanbul, Turkey;Dept. of Electronics and Communications Eng., Yildiz Technical University, Besiktas, Istanbul, Turkey
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

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Abstract

In many neural network applications, the selection of best training set to represent the entire sample space is one of the most important problems. Active learning algorithms in the literature for neural networks are not appropriate for Probabilistic Neural Networks (PNN). In this paper, a new active learning method is proposed for PNN. The method was applied to several benchmark problems.