Constructive training of probabilistic neural networks

Author:

Berthold Michael R.,Diamond Jay

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

1. M.R. Berthold, A probabilistic extension for the DDA algorithm, in: Int. Conf. on Neural Networks, vol. 1, IEEE, New York, 1996, pp. 341–346.

2. M.R. Berthold, Konstruktives Training Probabilistischer Neuronaler Netze für die Musterklassifikation, DISKI 155, infix Verlag, 1997.

3. M.R. Berthold, J. Diamond, Boosting the performance of RBF networks with dynamic decay adjustment, in: G. Tesauro, D.S. Touretzky, T.K. Leen (Eds.), Advances in Neural Information Processing Systems, 7, The MIT Press, Cambridge, MA, 1995, pp. 521–528.

4. M.H. Hudak, RCE classifiers: theory and practice, in: Cybernetics and Systems, vol. 23, Hemisphere, New York, 1992, pp. 483–515.

5. K. Lang, M. Witbrock, Learning to tell two spirals apart, Proc. of the Connectionist Summer School, 1988.

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