Neural-Based Ensembles for Particulate Matter Forecasting.
Paulo S. G. de Mattos NetoPaulo Renato A. FirminoHugo SiqueiraYara de Souza TadanoThiago Antonini AlvesJoão Fausto Lorenzato de OliveiraManoel Henrique da Nobrega MarinhoFrancisco MadeiroPublished in: IEEE Access (2021)
Keyphrases
- network architecture
- neural network
- short term
- ensemble learning
- bio inspired
- artificial neural
- medium term
- long term
- ensemble methods
- crude oil
- support vector regression
- neural model
- forecasting model
- ensemble selection
- electricity consumption
- grey model
- biologically plausible
- autoregressive model
- forecasting accuracy
- exchange rate
- hebbian learning
- financial time series
- random forests
- associative memory
- benchmark datasets
- artificial neural networks
- decision trees