HMLP, MLP and recurrent networks for carbon monoxide concentrations forecasting: A comparison studies

WSEAS Transactions on Systems

Volumn 4, Issue 6, 2005, Pages 812-820

  Raji, Usharani ^a   Mashor, M Yusof ^a   Ali, A N ^a   Adom, A H ^a   Sadullah, A F ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Carbon monoxide; Forecasting; Hybrid multilayered perceptron; Multilayered perceptron recurrent network

Indexed keywords

AIR POLLUTION CONTROL; CARBON MONOXIDE; FORECASTING; MATHEMATICAL MODELS; RECURRENT NEURAL NETWORKS;

CARBON MONOXIDE CONCENTRATIONS; HYBRID MULTILAYERED PERCEPTRON NETWORK; MULTILAYERED PERCEPTRON RECURRENT NETWORK;

MULTILAYER NEURAL NETWORKS;

EID: 22944438414     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. G. Maffeis, Prediction of Carbon Monoxide Acute Air Pollution Episodes. Model Formulation and First Application in Lombardy, Atmospheric Environment, Vol.33, 1999, pp. 3859-3872.
2. Carbon Monoxide Alert, http://www.homesafe.com/coalert, 2001.
3. P. Sharma and M. Khare, Real- time Prediction of Extreme Ambient carbon Monoxide Concentrations due to Vehicular Exhaust Emissions using Univariate Linear Stochastic Models, Transportation Research: Part D, Vol.5, No. 1, 2000, pp. 59-69.
4. P. Sharma and M. Khare, Short-term, Real-time Prediction of Extreme Ambient carbon Monoxide Concentrations due to Vehicular Exhaust Emissions using Transfer Function Noise Model, Transportation Research: Part D, Vol.6, No. 2, 2001, pp. 141-146.
5. M. Zickus and K. Kvietkus, Urban Air Pollution Forecast based on the Gaussian and Regression Models, Proceeding of 6th International Conference of Air Pollution, 1998, pp. 515-523.
6. A. C. Comrie and J. E. Diem, Climatology and Forecast Modelling in Phoenix, Arizona, Atmospheric Environment, Vol.33, No.30, 1999, pp. 5023-5036.
7. G. N. Polydoras, J. S. Anagnostopoulos and G. Ch. Bergeles, Air Quality Predictions: Dispersion Model vs. Box-Jenkins Stochastic Models. An Implementation and Comparison for Athens, Greece, Applied Thermal Engineering, Vol. 18, 1998, pp. 1037-1048.
8. L. Moseholm, J. Silva and T. Larson, Forecasting Carbon Monoxide Carbon Monoxide Concentrations Near a Sheltered Intersection using Video Traffic surveillance and Neural Networks, Transportation Research D, Vol. 1, No. 1, 1996, pp. 15-28.
9. M. Kolehmainen, H. Martikainen and J. Ruuskanen, Neural Networks and Periodic Components used in Air Quality Forecasting, Atmospheric Environment, Vol.35, 2001, pp. 815-825.
10. 2 Concentrations in Urban Air in London, Atmospheric Environment, Vol.31, No.24, 1997, pp. 4081-4094.
11. 2 Concentrations in Urban Air in London. Atmospheric Environment, Vol.33, 1999, pp.709-719.
12. 2.5 Concentrations Several Hours in Advance using Neural networks in Santiago, Chile. Atmospheric Environment, Vol.34, 2000, pp. 1189-1196.
13. A. B. Chelani, C. V. Chalapathi Rao, K. M. Phadke and M. Z. Hasan, Prediction of Sulphur Dioxide concentration using Artificial Neural Networks, Environmental Modelling & Software, Vol. 17, 2002, pp. 161-168.