{"id":61324,"date":"2018-03-09T22:49:10","date_gmt":"2018-03-09T22:49:10","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/modeling-the-reverse-osmosis-processes-performance-using-artificial-neural-networks\/"},"modified":"2018-03-09T22:49:10","modified_gmt":"2018-03-09T22:49:10","slug":"modeling-the-reverse-osmosis-processes-performance-using-artificial-neural-networks","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ingenieria-y-tecnologia-quimicas\/modeling-the-reverse-osmosis-processes-performance-using-artificial-neural-networks\/","title":{"rendered":"Modeling the reverse osmosis processes performance using artificial neural networks"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Mihai Libotean Dan <\/strong><\/h2>\n<p>Una de las aplicaciones mas importante de los procesos de filtracion por membrana es en el area de tratamiento de agua por ultrafiltracion, nanofiltracion u osmosis inversa. Entre los problemas mas serios encontrados en estos procesos destaca la aparicion de los fenomenos de ensuciamiento y envejecimiento de las membranas que limitan la eficacia de la operacion tanto en la separacion de los solutos, como en el flujo de permeado, afectando tambien el ciclo de vida de las membranas. para reducir el coste de la produccion y mejorar la robustez y eficacia de estos procesos es imprescindible disponer de modelos capaces de representar y predecir la eficiencia y el comportamiento de las membranas durante la operacion. Una alternativa viable a los modelos teoricos, que presentan varias particularidades que dificultan su postulado, la constituyen los modelos basados en el analisis de los datos experimentales, entre cuales destaca el uso de las redes neuronales. Dos metodolog\u00edas han sido evaluadas e investigadas, una constando en la caracterizacion de las interacciones entre las membranas y los compuestos organicos presentes en el agua de alimentacion, y la segunda basada en el modelado de la dinamica de operacion de las plantas de desalinizacion por osmosis inversa. relaciones cuantitativas estructura-propiedad se han derivado usando redes neuronales de tipo back-propagation, para establecer correlaciones entre los descriptores moleculares de 50 compuestos organicos de preocupacion para la salud publica y su comportamiento frente a 5 membranas comerciales de osmosis inversa, en terminos de permeacion, absorcion y rechazo. Para reducir la dimension del espacio de entrada, y para evitar el uso de la informacion redundante en el entrenamiento de los modelos, se han usado tres metodos para seleccionar el menor numero de los descriptores moleculares relevantes entre un total de 45 que caracterizan cada molecula. Los modelos obtenidos se han validado utilizando un metodo basado<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Modeling the reverse osmosis processes performance using artificial neural networks<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Modeling the reverse osmosis processes performance using artificial neural networks <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Mihai Libotean Dan <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Rovira i virgili<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 14\/11\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Jaume Giralt Marc\u00e9<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Giralt i prats  francesc <\/li>\n<li>joan Ferrer giner (vocal)<\/li>\n<li>Rafael Mujeriego sahuquillo (vocal)<\/li>\n<li>albert D\u00edaz guilera (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Mihai Libotean Dan Una de las aplicaciones mas importante de los procesos de filtracion por membrana es [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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