Multivariate deep learning model with ensemble pruning for time series forecasting

DOI10.1007/978-981-16-6890-6_24zbMath1496.62161OpenAlexW4226006856MaRDI QIDQ2079938

Sobhan Sarkar, Cherry Tandu, Mohit Kosuri, Jyotirmoy Maiti

Publication date: 7 October 2022

Full work available at URL: https://doi.org/10.1007/978-981-16-6890-6_24

zbMATH Keywords

multivariate analysistime series forecastingensemble pruningdeep learning model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Artificial neural networks and deep learning (68T07) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• AdaBoost-SAMME

Cites Work

• Multi-class AdaBoost
• Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
• Non-linear system identification using neural networks

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