Modularization by Cascading Neural Networks

Author:

Littmann Enno,Ritter Helge

Publisher

Springer Netherlands

Reference27 articles.

1. Baffes, P. , & J. Zelle (1992). Growing layers of perceptrons: Introducing the exten-tron algorithm. Proceedings of the International Joint Conference on Neural Networks, volume II (pp. 392–397). Baltimore, MD.

2. Baum, E. , & D. Haussler (1989). What size net gives valid generalization? Neural Computation 1:151–160.

3. Crowder, R. S. (1990). Predicting the Mackey-Glass time series with cascade-correlation learning. In D. S. Touretzky, J. L. Elman, TJ. Sejnowski, & G. E. Hinton (eds. ), Connectionist Models: Proceedings of the 1990 Summer School (pp. 524–532). San Mateo, CA: Morgan Kaufmann.

4. Fahlman, S. E. (1991). The recurrent cascade-correlation architecture. In R. P. Lipp-mann, J. E. Moody, and D. S. Touretzky (eds. ), Advances in neural information processing systems 3 (pp. 190–196). San Mateo, CA: Morgan Kaufmann.

5. Fahlman, S. E. (1991). The recurrent cascade-correlation architecture. In R. P. Lipp-mann, J. E. Moody, and D. S. Touretzky (eds. ), Advances in neural information processing systems 3 (pp. 190–196). San Mateo, CA: Morgan Kaufmann.

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