Source: Water Science and Technology. Unidades: IQ, EP
Subjects: REDES NEURAIS, FOTOQUÍMICA, FENÓIS
ABNT
MOTA, André Luis Novais et al. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor. Water Science and Technology, v. 69, n. 4, p. 768–774, 2014Tradução . . Disponível em: https://doi.org/10.2166/wst.2013.731. Acesso em: 08 nov. 2024.APA
Mota, A. L. N., Chiavone Filho, O., Silva, S. S. da, Foletto, E. L., Moraes, J. E. F. de, & Nascimento, C. A. O. do. (2014). Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor. Water Science and Technology, 69( 4), 768–774. doi:10.2166/wst.2013.731NLM
Mota ALN, Chiavone Filho O, Silva SS da, Foletto EL, Moraes JEF de, Nascimento CAO do. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor [Internet]. Water Science and Technology. 2014 ; 69( 4): 768–774.[citado 2024 nov. 08 ] Available from: https://doi.org/10.2166/wst.2013.731Vancouver
Mota ALN, Chiavone Filho O, Silva SS da, Foletto EL, Moraes JEF de, Nascimento CAO do. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor [Internet]. Water Science and Technology. 2014 ; 69( 4): 768–774.[citado 2024 nov. 08 ] Available from: https://doi.org/10.2166/wst.2013.731