{"id":98354,"date":"2018-03-11T10:19:08","date_gmt":"2018-03-11T10:19:08","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/biotecnologa%c2%ada-de-vitis-vinifera-modelizacion-mediante-inteligencia-artificial\/"},"modified":"2018-03-11T10:19:08","modified_gmt":"2018-03-11T10:19:08","slug":"biotecnologa%c2%ada-de-vitis-vinifera-modelizacion-mediante-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/biotecnologia\/biotecnologa%c2%ada-de-vitis-vinifera-modelizacion-mediante-inteligencia-artificial\/","title":{"rendered":"Biotecnolog\u00eda de vitis vinifera: modelizaci\u00f3n mediante inteligencia artificial"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Jorge Gago Mari\u00f1o <\/strong><\/h2>\n<p>This thesis deals in the subject of the biotechnology of vitis vinifera l.: Modeling through artificial intelligence. Three major chapters are developed:  the firs chapter employs artificial neural networks (anns) to create a model to identify relationships between variables affecting the in vitro rhizogenesis and acclimatization has been evaluated. The developed model, using anns software, was assessed using a separate set of validation data and was in good agreement with the observed results. Exposure time to iba was found to have the dominant role on influencing the heigth of acclimatizated plantelets. Anns can be considered a useful tool for modeling and optimizing different complex process, or data set, in plant tissue culture or, more generally, in plant biology.  the second chapter deeps in the understanding of the cause-effect relationships between culture conditions&#8230;.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Biotecnolog\u00eda de vitis vinifera: modelizaci\u00f3n mediante inteligencia artificial<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Biotecnolog\u00eda de vitis vinifera: modelizaci\u00f3n mediante inteligencia artificial <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Jorge Gago Mari\u00f1o <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Vigo<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 18\/12\/2009<\/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>Pedro Pablo Gallego Veigas<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: gloria Revilla l\u00f3pez <\/li>\n<li>isabel Arrillaga mateos (vocal)<\/li>\n<li>lorenzo Burgos ortiz (vocal)<\/li>\n<li>jaume Flexas sans (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Jorge Gago Mari\u00f1o This thesis deals in the subject of the biotechnology of vitis vinifera l.: Modeling [&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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