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Ozone indices based on simple meteorological parameters: potentials and limitations of regression and neural network models
Affiliation:1. School of Forest Resources and Conservation, University of Florida, 136 Newins-Ziegler Hall, Gainesville, FL 32611, United States of America;2. Engineering School of Sustainable Infrastructure & Environment, University of Florida, 102 Phelps Lab, Gainesville, FL 32611, United States of America;1. University Fernando Pessoa, Global Change, Energy, Environment and Bioengineering Center (CIAGEB), Praça 9 de Abril, 349, 4249-004 Porto, Portugal;2. University of Aveiro, Department of Mechanical Engineering/Centre for Mechanical Technology and Automation, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;3. University of Aveiro, Department of Mathematics, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;4. INEB — Instituto de Engenharia Biomédica, Rua do Campo Alegre, 823, 4150-180 Porto, Portugal;5. New University of Lisbon, Faculty of Sciences and Technology/Center for Environmental and Sustainability Research (CENSE), Quinta da Torre, 2829-516 Caparica, Portugal
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