Particulate matter forecast and prediction in Curitiba using machine learning.
Marianna Gonçalves Dias ChavesAdriel Bilharva da SilvaEmílio Graciliano Ferreira MercuriSteffen Manfred NoePublished in: Frontiers Big Data (2024)
Keyphrases
- machine learning
- prediction accuracy
- recursive neural networks
- predictive model
- exponential smoothing
- pattern recognition
- prediction model
- machine learning algorithms
- failure prediction
- machine learning methods
- load forecasting
- information extraction
- prediction algorithm
- knowledge discovery
- inductive logic programming
- prediction error
- predictive modeling
- decision trees
- feature selection
- short term
- chaotic time series
- transfer learning
- computer vision
- artificial intelligence
- text classification
- knowledge representation
- computer science
- learning systems
- historical data
- hybrid model
- computational intelligence
- natural language processing
- active learning
- artificial neural networks
- data analysis
- arima model
- information retrieval