Artificial Neural Networks Associated To Calorimetry To Preview Polymer Composition Of High Solid Content Emulsion Copolymerizations

dc.creatorGiordani D.S.
dc.creatorDos Santos A.M.
dc.creatorKrahenbuhl M.A.
dc.creatorLona L.M.F.
dc.date2005
dc.date2015-06-26T14:10:02Z
dc.date2015-11-26T14:10:09Z
dc.date2015-06-26T14:10:02Z
dc.date2015-11-26T14:10:09Z
dc.date.accessioned2018-03-28T21:10:48Z
dc.date.available2018-03-28T21:10:48Z
dc.identifier0780390482; 9780780390485
dc.identifierProceedings Of The International Joint Conference On Neural Networks. , v. 4, n. , p. 2237 - 2242, 2005.
dc.identifier
dc.identifier10.1109/IJCNN.2005.1556249
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33750138797&partnerID=40&md5=f130b7295300bfe65fd1f63f07b98808
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/93946
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93946
dc.identifier2-s2.0-33750138797
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241440
dc.descriptionArtificial Neural Networks (ANN) have demonstrated to be powerful tools to model non linear systems, such as high solid content latexes produced by emulsion polymerisation. This system has a great importance in the polymeric industry, essentially for environmental reasons, since they usually have water as continuous phase. In order to propose technical and economically feasible alternatives to control polymeric structure, this work is aimed to develop a new methodology based on artificial neural networks associated with calorimetry to preview polymeric structure. The designed artificial neural networks presented excellent results when tested with process condition variations as well as when they were submitted to test concerning to the variation on the proportion of monomers in the latex formulation. Hence, it was possible to conclude that artificial neural networks, associated to calorimetry, lead to an efficient method to preview the polymer composition in emulsion copolymerizations. © 2005 IEEE.
dc.description4
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dc.description2242
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dc.languageen
dc.publisher
dc.relationProceedings of the International Joint Conference on Neural Networks
dc.rightsfechado
dc.sourceScopus
dc.titleArtificial Neural Networks Associated To Calorimetry To Preview Polymer Composition Of High Solid Content Emulsion Copolymerizations
dc.typeActas de congresos


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