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Artificial Intelligence Applications and Innovations AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB Halkidiki, Greece, September 27-30, 2012, Part II |
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Conference papers
Investigation and Forecasting of the Common Air Quality Index in Thessaloniki, Greece
Abstract : Air pollution can affect health and well-being of people and eco-systems. Due to the health risk posed for sensitive population groups, it is important to provide with hourly and daily forecasts of air pollution. One way to assess air pollution is to make use of the Common Air Quality Index (CAQI) of the European Environment Agency (EEA). In this paper we employ a number of Computational Intelligence algorithms to study the forecasting of the hourly and daily CAQI. These algorithms include artificial neural networks, decision trees and regression models combined with different datasets. The results provide with a satisfactory CAQI forecasting performance that may be the basis of an operational forecasting system.
Cited literature [18 references]
https://hal.archives-ouvertes.fr/hal-01523061
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:16:58 AM
Last modification on : Thursday, March 5, 2020 - 5:41:44 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:28:40 AM
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:16:58 AM
Last modification on : Thursday, March 5, 2020 - 5:41:44 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:28:40 AM
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