Fonte: International Journal of Environment and Pollution,. Unidade: EP
Assuntos: ESPAÇO URBANO, INTELIGÊNCIA ARTIFICIAL, MEIO AMBIENTE, MODELOS MATEMÁTICOS, OZÔNIO, POLUIÇÃO ATMOSFÉRICA, REDES NEURAIS
ABNT
GUARDANI, Roberto e NASCIMENTO, Cláudio Augusto Oller do. Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area. International Journal of Environment and Pollution, v. 22, n. 4, 2004Tradução . . Disponível em: https://doi.org/10.1504/ijep.2004.005680. Acesso em: 01 out. 2024.APA
Guardani, R., & Nascimento, C. A. O. do. (2004). Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area. International Journal of Environment and Pollution,, 22( 4). doi:10.1504/ijep.2004.005680NLM
Guardani R, Nascimento CAO do. Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area [Internet]. International Journal of Environment and Pollution,. 2004 ;22( 4):[citado 2024 out. 01 ] Available from: https://doi.org/10.1504/ijep.2004.005680Vancouver
Guardani R, Nascimento CAO do. Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area [Internet]. International Journal of Environment and Pollution,. 2004 ;22( 4):[citado 2024 out. 01 ] Available from: https://doi.org/10.1504/ijep.2004.005680