Short-term air quality prediction using a case-based classifier

Environmental Modelling and Software

Volumn 16, Issue 3, 2001, Pages 263-272

  Nelson, Paul ^a  

^a Australian Maritime Safety Authority   (Australia)

Author keywords

Air monitoring operational data modelling; Air Quality Management Operational Centre; Athens; Case based reasoning (CBR); Short term NO2 concentration prediction; Urban air quality

Indexed keywords

AIR POLLUTION; COMPUTER CONTROL; ENVIRONMENTAL MONITORING; GREECE; NITROGEN DIOXIDE; PROCESS DEVELOPMENT; URBAN AREA;

AIR POLLUTION; AUTOMATION; BACKPROPAGATION; DECISION THEORY; HEURISTIC METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS; URBAN PLANNING;

CASE-BASED REASONING METHOD;

AIR QUALITY;

AIR QUALITY; ATMOSPHERIC POLLUTION; MONITORING SYSTEM; PREDICTION; URBAN AREA;

EID: 0035096378     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-8152(00)00072-4     Document Type: Article

References (19)

1. Case-based reasoning: Foundational issues, methodological variations, and system approaches
2. Modelling and forecasting the daily maximum temperature using abductive machine learning
3. Co-operating knowledge-based systems for environmental decision support
4. Environmental monitoring and simulation, environmental informatics - Methodology and applications of environmental information processing
5. Neural networks - A new mathematical tool for air pollution modelling
6. Emergency air protection: A survey of smog alarm systems
7. Applying machine learning techniques in air quality prediction
8. Predicting atmospheric ozone using neural networks as compared to some statistical methods
9. Case-based reasoning in environmental monitoring applications
10. Short-term air pollution prediction on the basis of artificial neural networks
11. Neurosymbolic integration in a knowledge-based system for air quality prediction
12. 2 episode prediction
13. Neural network-based prediction model of ozone for Mexico City
14. Short-term ozone forecasting by artificial neural networks
15. Environmental applications of expert systems technology
16. Using case-based reasoning for plan adaptation and repair
17. Case-based reasoning: A review
18. A neural network model for the prediction of daily maximum ozone concentration in an industrialised urban area