Liquid Effluent Properties Prediction From An Industrial Wastewater Treatment Plant Using Artificial Neural Networks

dc.creatorGontarski C.A.
dc.creatorRodrigues P.R.
dc.creatorMori M.
dc.creatorPrenem L.F.
dc.date2000
dc.date2015-06-30T19:51:07Z
dc.date2015-11-26T14:47:13Z
dc.date2015-06-30T19:51:07Z
dc.date2015-11-26T14:47:13Z
dc.date.accessioned2018-03-28T21:57:28Z
dc.date.available2018-03-28T21:57:28Z
dc.identifier
dc.identifierComputer Aided Chemical Engineering. , v. 8, n. C, p. 865 - 870, 2000.
dc.identifier15707946
dc.identifier10.1016/S1570-7946(00)80146-7
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-77956792161&partnerID=40&md5=8c5a99be218b8541864c77bbd63302ae
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/107282
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/107282
dc.identifier2-s2.0-77956792161
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1253178
dc.descriptionThis work presents a way to predict the environmental properties of the output stream of the wastewater treatment plant at Rhodiaco Ltda, one of the major chemical plants in Brazil. The industrial plant produces purified terephtalic acid and generates wastewater that should be treated in an activated sludge system. The influence of input variables is analyzed, and satisfactory predicted results are obtained for an optimized situation. © 2000 Elsevier B.V. All rights reserved.
dc.description8
dc.descriptionC
dc.description865
dc.description870
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dc.descriptionJacobs, R.A., Increased Rates of Convergence Through Learning Rate Adaptation (1988) Neural Networks, v. 1, pp. 295-307
dc.descriptionCaudill, M., Neural Network Training Tips and Techniques (1991) AI Expert, Jan
dc.descriptionGontarski, C.A., Mori, M., Bonifácio, W., Predição de Comportamento de um Sistema de Tratamento de Efluentes Industriais Utilizando Redes Neuronais (1999) Anais do II Congresso de Engenharia de Processos do Mercosul, , Florianópolis, SC, Brasil (cdrom)
dc.languageen
dc.publisher
dc.relationComputer Aided Chemical Engineering
dc.rightsfechado
dc.sourceScopus
dc.titleLiquid Effluent Properties Prediction From An Industrial Wastewater Treatment Plant Using Artificial Neural Networks
dc.typeArtículos de revistas


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