Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: Case study of Hong Kong.
Gong BingJoaquín B. Ordieres MeréPublished in: Environ. Model. Softw. (2016)
Keyphrases
- hong kong
- case study
- preprocessing
- financial news
- higher education
- prediction accuracy
- neural network ensemble
- primary school
- neural network
- feature selection
- artificial neural networks
- training data
- solar radiation
- meteorological data
- ensemble learning
- university of hong kong
- chinese language
- ensemble classifier
- secondary school
- internet banking
- grade students
- real world
- ensemble methods
- prediction model
- learning algorithm
- data envelopment analysis
- game based learning
- fraud detection
- problem based learning
- design process
- post secondary