Second-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings - researchr publication authors

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Rafael C. Carrasco, Mikel L. Forcada. Second-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings. In José Mira, Francisco Sandoval Hernández, editors, From Natural to Artificial Neural Computation, International Workshop on Artificial Neural Networks, IWANN 95, Malaga-Torremolinos, Spain, June 7-9, 1995, Proceedings. Volume 930 of Lecture Notes in Computer Science, pages 605-610, Springer, 1995.

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