Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm.
Sanjiban Sekhar RoyNicolae ParaschivMihaela PopaRamona LileIshan NaktodePublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- hybrid model
- support vector regression
- genetic algorithm
- artificial neural networks
- forecasting accuracy
- arima model
- air pollution
- prediction accuracy
- hybrid models
- back propagation neural network
- regression model
- autoregressive conditional heteroscedasticity
- predictive clustering trees
- prediction model
- neural network
- linear regression model
- support vector
- load forecasting
- multi objective
- radial basis function neural network
- conformal prediction
- multiple linear regression
- image processing
- back propagation
- fitness function
- support vector machine svm
- support vector machine
- air quality
- model selection
- regression method
- feed forward
- genetic algorithm ga