Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50243#.VDNHRVfHRK0 Author(s) Elizabeth Martinez-Zeron 1 , Marco A. Aceves-Fernandez 1* , Efren Gorrostieta-Hurtado 1 , Artemio Sotomayor-Olmedo 2 , Juan Manuel Ramos-Arreguín 1 Affiliation(s) 1 Facultad de Informática, Universidad Autónoma de Querétaro, Querétaro, México . 2 Laboratory of Artificial Intelligence, Faculty of Engineering, Universidad Autónoma de Querétaro, Querétaro, México . ABSTRACT This contribution shows the feasibility of improving the modeling of the non-linear behavior of airborne pollution in large cities. In previous works, models have been constructed using many machine learning algorithms. However, many of them do not work fo...