The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction

Ignacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Jesús González, Olga Valenzuela. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction. In Raul Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar, Juan Humberto Sossa Azuela, editors, MICAI 2004: Advances in Artificial Intelligence, Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings. Volume 2972 of Lecture Notes in Computer Science, pages 30-39, Springer, 2004. [doi]

@inproceedings{RojasRPHGV04,
  title = {The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction},
  author = {Ignacio Rojas and Fernando Rojas and Héctor Pomares and Luis Javier Herrera and Jesús González and Olga Valenzuela},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2972&spage=30},
  researchr = {https://researchr.org/publication/RojasRPHGV04},
  cites = {0},
  citedby = {0},
  pages = {30-39},
  booktitle = {MICAI 2004: Advances in Artificial Intelligence, Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings},
  editor = {Raul Monroy and Gustavo Arroyo-Figueroa and Luis Enrique Sucar and Juan Humberto Sossa Azuela},
  volume = {2972},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-21459-3},
}