Artículos de revistas
Simulation of an industrial wastewater treatment plant using artificial neural networks and principal components analysis
Registro en:
Brazilian Journal of Chemical Engineering. Brazilian Society of Chemical Engineering, v. 19, n. 4, p. 365-370, 2002.
0104-6632
S0104-66322002000400002
10.1590/S0104-66322002000400002
Autor
Oliveira-Esquerre, K.P.
Mori, M.
Bruns, R.E.
Institución
Resumen
This work presents a way to predict the biochemical oxygen demand (BOD) of the output stream of the biological wastewater treatment plant at RIPASA S/A Celulose e Papel, one of the major pulp and paper plants in Brazil. The best prediction performance is achieved when the data are preprocessed using principal components analysis (PCA) before they are fed to a backpropagated neural network. The influence of input variables is analyzed and satisfactory prediction results are obtained for an optimized situation. 365 370 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)