Performance and Explainability of Reservoir Computing Models for Industrial Prognosis

Unai Armentia, Irantzu Barrio, Javier Del Ser. Performance and Explainability of Reservoir Computing Models for Industrial Prognosis. In Hugo Sanjurjo-González, Iker Pastor-López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors, 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021. Volume 1401 of Advances in Intelligent Systems and Computing, pages 24-36, Springer, 2021. [doi]

@inproceedings{ArmentiaBS21,
  title = {Performance and Explainability of Reservoir Computing Models for Industrial Prognosis},
  author = {Unai Armentia and Irantzu Barrio and Javier Del Ser},
  year = {2021},
  doi = {10.1007/978-3-030-87869-6_3},
  url = {https://doi.org/10.1007/978-3-030-87869-6_3},
  researchr = {https://researchr.org/publication/ArmentiaBS21},
  cites = {0},
  citedby = {0},
  pages = {24-36},
  booktitle = {16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021},
  editor = {Hugo Sanjurjo-González and Iker Pastor-López and Pablo García Bringas and Héctor Quintián and Emilio Corchado},
  volume = {1401},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-87869-6},
}