Fast learning with incremental RBF networks-Reference-Cited by-同舟云学术

Fast learning with incremental RBF networks

Published:1994-03 Issue:1 Volume:1 Page:2-5
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Fritzke Bernd

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/BF02312392.pdf

Reference6 articles.

1. T.M Martinetz, K. J. Schulten. A “neural-gas≓ network learns topologies, in:Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula, J. Kangas eds., North-Holland, Amsterdam, pp. 397–402, 1991.

2. J. Moody, C. Darken. Learning with localized receptive fields,Proc. 1988 Connectionist Models Summer School, D. Touretzky, G. Hinton, T. Sejnowski eds., Morgan Kaufmann, San Mateo, pp. 133–143, 1989.

3. J.C. Platt. A resource-allocating network for function interpolation,Neural Computation, vol. 3, pp. 213–225, 1991.

4. B. Fritzke. Supervised learning with growing cell structures, in:Advances in Neural Information Processing Systems 6, J. Cowan, G. Tesauro, J. Alspector eds., Morgan Kaufmann Publishers, San Mateo, CA, pp. 255–262, 1994.

5. T. Kohonen. Self-organized formation of topologically correct feature maps,Biological Cybernetics, vol. 43, pp. 59–69, 1982.

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