Highly Influenced

@article{Kremer1996CommentsO, title={Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution"}, author={Stefan C. Kremer}, journal={IEEE transactions on neural networks}, year={1996}, volume={7 4}, pages={1047-51} }

- Published 1996 in IEEE Trans. Neural Networks
DOI:10.1109/72.508949

Giles et al. (1995) have proven that Fahlman's recurrent cascade correlation (RCC) architecture is not capable of realizing finite state automata that have state-cycles of length more than two under a constant input signal. This paper extends the conclusions of Giles et al. by showing that there exists a corollary to their original proof which identifies a… CONTINUE READING

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