Improving Accuracy of Time Series Forecasting by Applying an ARIMA-ANN Hybrid Model.
Hadid WahediKacper WronaMads HeltoftSarkaft SalehThomas Roum KnudsenUlrik BendixenIzabela NielsenSubrata SahaGregers Sandager BorupPublished in: APMS (1) (2022)
Keyphrases
- hybrid model
- artificial neural networks
- arima model
- hybrid models
- back propagation neural network
- back propagation
- neural network
- forecasting accuracy
- using artificial neural networks
- high accuracy
- multilayer perceptron
- autoregressive integrated moving average
- classification accuracy
- machine learning
- feed forward
- prediction accuracy
- error rate
- neural nets
- generalization ability
- support vector regression
- neural network model
- radial basis function
- levenberg marquardt
- image processing