Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study.
Carlos CastorenaRoberto AlejoEréndira RendónEverardo Efrén Granda GutiérrezRosa Maria ValdovinosGrisel Miranda-PiñaPublished in: ICIC (1) (2022)
Keyphrases
- artificial neural networks
- backpropagation neural networks
- feed forward artificial neural networks
- short term
- forecasting accuracy
- neural network
- united states
- generalized regression neural network
- predictive model
- hybrid model
- computational intelligence
- back propagation
- genetic algorithm
- using artificial neural networks
- bp neural network
- multilayer perceptron
- e government
- prediction model
- feed forward
- neural network model
- forecasting model
- short term load forecasting
- medium term
- radial basis function
- support vector regression
- genetic algorithm ga
- weather forecasting
- air pollution
- grey model
- application of artificial neural networks
- grey theory
- financial time series
- multi layer perceptron
- information technology
- demand forecasting
- ann models
- feed forward neural networks
- exchange rate
- activation function
- non stationary
- elman neural network
- fuzzy logic