A Hybrid Model for the Prediction of Air Pollutants Concentration, Based on Statistical and Machine Learning Techniques.
Carlos Minutti-MartinezMagali Arellano-VázquezMarlene Zamora-MachadoPublished in: MICAI (2) (2021)
Keyphrases
- hybrid model
- forecasting accuracy
- arima model
- artificial neural networks
- statistical methods
- hybrid models
- support vector regression
- prediction accuracy
- back propagation neural network
- prediction model
- statistical analysis
- machine learning
- neural network
- autoregressive conditional heteroscedasticity
- machine learning methods
- statistical models
- machine learning algorithms
- data driven
- machine learning approaches
- information theoretic
- support vector machine svm
- predictive model
- prediction algorithm
- support vector machine
- air quality
- feature vectors
- pattern recognition
- similarity measure
- data sets