Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation
Crossref DOI link: https://doi.org/10.1007/s11063-017-9679-2
Published Online: 2017-08-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Aguayo, Leonardo
Barreto, Guilherme A. http://orcid.org/0000-0002-7002-1216
Funding for this research was provided by:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (309451/2015-9)
License valid from 2017-08-04