Prediction of sulphur dioxide concentration using artificial neural networks

Environmental Modelling and Software

Volumn 17, Issue 2, 2002, Pages 159-166

  Chelani, Asha B ^a   Chalapati Rao, C V ^a   Phadke, K M ^a   Hasan, M Z ^a  

^a NATIONAL ENVIRONMENTAL ENGINEERING RESEARCH INSTITUTE   (India)

Author keywords

Levenberg Marquardt; Multivariate regression model; Neural network; Recurrent network; SO2 air pollution

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

LEVENBERG-MARQUARDT ALGORITHMS;

SULFUR DIOXIDE;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; REGRESSION; SULFUR DIOXIDE;

DELHI; INDIA;

EID: 44649134996     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/s1364-8152(01)00061-5     Document Type: Article

References (13)

1. 2 concentrations in complex terrain
2. Air quality modeling: A technical review of mathematical approaches
3. Comparing neural network and regression models for ozone forecasting
4. A mathematical model for air pollution forecast and alarm in an urban area
5. Artificial neural networks (the multilayer perceptron) - A review of applications in the atmospheric sciences
6. 2 concentrations in urban air in London
7. Forecasting peak pollutant levels from meteorological variables