Learning music time series with a parallel hybrid forecasting model calibrated with reduced VNS

DOI10.1016/j.endm.2018.03.028zbMath1407.62443OpenAlexW2797410219MaRDI QIDQ1791963

Vitor N. Coelho, Bruno N. Coelho, Mateus N. Coelho, Igor M. Coelho, Marcone Jamilson Freitas Souza

Publication date: 11 October 2018

Full work available at URL: https://doi.org/10.1016/j.endm.2018.03.028

zbMATH Keywords

deep learningreduced variable neighborhood searchdigital audiohybrid forecasting modelmusic time series

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to physics (62P35)

Cites Work

• Variable neighbourhood search: Methods and applications
• EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS

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