Ricardo Rodríguez Jorge, Edgar Martínez-García, Jolanta Mizera-Pietraszko, Jirí Bíla, Rafael Torres-Córdoba. Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units. In Fatos Xhafa, Santi Caballé, Leonard Barolli, editors, Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Proceedings of the 12th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2017, Barcelona, Spain, 8-10 November 2017. Volume 13 of Lecture Notes on Data Engineering and Communications Technologies, pages 787-795, Springer, 2017. [doi]
@inproceedings{JorgeMMBT17,
title = {Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units},
author = {Ricardo Rodríguez Jorge and Edgar Martínez-García and Jolanta Mizera-Pietraszko and Jirí Bíla and Rafael Torres-Córdoba},
year = {2017},
doi = {10.1007/978-3-319-69835-9_74},
url = {https://doi.org/10.1007/978-3-319-69835-9_74},
researchr = {https://researchr.org/publication/JorgeMMBT17},
cites = {0},
citedby = {0},
pages = {787-795},
booktitle = {Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Proceedings of the 12th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2017, Barcelona, Spain, 8-10 November 2017},
editor = {Fatos Xhafa and Santi Caballé and Leonard Barolli},
volume = {13},
series = {Lecture Notes on Data Engineering and Communications Technologies},
publisher = {Springer},
isbn = {978-3-319-69835-9},
}