Artificial neural networks to control chlorine dosing in a water treatment plant
Artificial neural networks in the multivariable control of chlorine dosing in the post-chlorination stage in a water treatment plant in the Greater São Paulo, Brazil, are analyzed. The plant has constant fluctuations in chlorine demand caused by natural influences related to raw water from surface s...
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| Publicado no: | Acta Scientiarum. Technology |
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| Principais autores: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidade Estadual de Maringá
2018
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=303258327055 https://www.redalyc.org/journal/3032/303258327055/ https://www.redalyc.org/journal/3032/303258327055/html/ https://www.redalyc.org/journal/3032/303258327055/303258327055.epub https://www.redalyc.org/journal/3032/303258327055/movil https://doi.org/10.4025/actascitechnol.v40i1.37275 |
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