| Revista: | Brazilian journal of chemical engineering |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000308830 |
| ISSN: | 0104-6632 |
| Autors: | Oliveira-Esquerre, K.P1 Mori, M Bruns, R.E2 |
| Institucions: | 1Universidade Estadual de Campinas, Faculdade de Engenharia Quimica, Campinas, Sao Paulo. Brasil 2Universidade Estadual de Campinas, Instituto de Quimica, Campinas, Sao Paulo. Brasil |
| Any: | 2002 |
| Període: | Oct |
| Volum: | 19 |
| Número: | 4 |
| Paginació: | 365-370 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | 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 |
| Disciplines | Ingeniería |
| Paraules clau: | Ingeniería ambiental, Ingeniería química, Residuos industriales, Plantas de tratamiento, Tratamiento de aguas residuales, Demanda bioquímica de oxígeno, Análisis de componentes principales, Redes neuronales artificiales |
| Keyword: | Engineering, Chemical engineering, Environmental engineering, Industrial wastes, Treatment plants, Waste water treatment, Biochemical oxygen demand, Principal component analysis, Artificial neural networks |
| Text complet: | Texto completo (Ver HTML) |
