Direct Approaches to Improving the Robustness of Multilayer Neural Networks-Reference-Cited by-同舟云学术

Direct Approaches to Improving the Robustness of Multilayer Neural Networks

Published:1992 Issue: Volume: Page:1063-1066
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Container-title:Artificial Neural Networks
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Author:

Bugmann Guido,Sojka Petr,Reiss Michael,Plumbley Mark,Taylor John G.

Publisher

Elsevier

Reference11 articles.

1. The standard deviation method: Data analysis by classical means and by neural networks;Bugmann,1989

2. Optimal brain damage;Le Cun,1990

3. A self-adaptive minimal neural network architecture;Kendall;Electronic Letters,1992

4. Bruce E. Segee and Michael J. Carter. Fault tolerance of pruned multilayer networks. In Proc. of IEEE INNS International Joint Conference on Neural Networks, pages II–447–452, Seattle, July 1991.

5. F. Vallet and Ph. Kerlirzin. Robustness in multi-layer perceptrons. In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas, editors, Artificial Neural Networks, Proc. of the International Conference on Artificial Neural Networks, pages 641–646, Helsinki, June 1991. Elsevier Science Publishers (North-Holland).

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