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

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.

@inproceedings{CarrascoF95:0,
  title = {Second-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings},
  author = {Rafael C. Carrasco and Mikel L. Forcada},
  year = {1995},
  tags = {C++, grammar},
  researchr = {https://researchr.org/publication/CarrascoF95%3A0},
  cites = {0},
  citedby = {0},
  pages = {605-610},
  booktitle = {From Natural to Artificial Neural Computation, International Workshop on Artificial Neural Networks, IWANN  95, Malaga-Torremolinos, Spain, June 7-9, 1995, Proceedings},
  editor = {José Mira and Francisco Sandoval Hernández},
  volume = {930},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-59497-3},
}