Exploding the myths: An introduction to artificial neural networks for prediction and forecasting.
Holger R. MaierStefano GalelliSaman RazaviAndrea CastellettiAndrea Emilio RizzoliIoannis N. AthanasiadisMiquel Sànchez-MarrèMarco AcutisWenyan WuGreer B. HumphreyPublished in: Environ. Model. Softw. (2023)
Keyphrases
- artificial neural networks
- feed forward artificial neural networks
- predictive model
- prediction model
- financial time series
- neural network
- grey model
- prediction accuracy
- ann models
- forecasting accuracy
- evolutionary artificial neural networks
- stock market prediction
- neural network model
- back propagation
- computational intelligence
- short term load forecasting
- failure prediction
- multi layer perceptron
- using artificial neural networks
- data sets
- generalized regression neural network
- backpropagation neural networks
- chaotic time series
- application of artificial neural networks
- prediction error
- feed forward
- elman network
- short term
- bp neural network
- machine learning
- multilayer perceptron
- weather forecasting
- load forecasting
- radial basis function
- recurrent neural networks
- medium term
- genetic algorithm
- phase space reconstruction
- exponential smoothing
- arima model
- prediction algorithm
- artificial intelligence