{"id":30039,"date":"2004-07-05T00:00:00","date_gmt":"2004-07-05T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/spai-substance-prediction-by-artificial-intelligence\/"},"modified":"2004-07-05T00:00:00","modified_gmt":"2004-07-05T00:00:00","slug":"spai-substance-prediction-by-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ramon-llull\/spai-substance-prediction-by-artificial-intelligence\/","title":{"rendered":"Spai: substance prediction by artificial intelligence"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Alexis Pey Torruella <\/strong><\/h2>\n<p>La directiva europea 96\/82\/ec, conocida como seveso ii, requiere a las empresas qu\u00edmicas la definici\u00f3n de aquellas sustancias peligrosas que se crea puedan ser generadas en condiciones de p\u00e9rdida de control de un proceso qu\u00edmico. Este requerimiento es especialmente dif\u00edcil de cumplir debido al elevado n\u00famero de posibles hip\u00f3tesis y reacciones entre sustancias que se pueden definir a partir de las cuales el sistema evolucione en condiciones fuera de control.  la reacciones qu\u00edmicas, incluso si evolucionan en condiciones fuera de control, siguen mecanismos de reacci\u00f3n definidos que hacen que exista una relaci\u00f3n entre los reactivos y productos, aunque normalmente estas relaciones son dif\u00edciles de conocer. Este hecho permite plantear la aplicaci\u00f3n de t\u00e9cnicas de inteligencia artificial con el objetivo de predecir las sustancias generadas en condiciones fuera de control.  se ha desarrollado una base de datos, spaidb, con el objetivo de ejercer de fuente de conocimiento para los sistemas de inteligencia artificial. esta base de datos contiene informaci\u00f3n sobre sistemas qu\u00edmicos en los que se conocen los reactivos y los productos generados una vez estos han evolucionado en condiciones fuera de control. Los datos se representan de manera que pueden ser analizados mediante algoritmos de inteligencia artificial.  los algoritmos de inteligencia artificial usados pueden clasificarse entre m\u00e9todos lazy y eager. Entre los pertenecientes a los lazy se encuentran el k-nearest neighbour (knn) y el determination of direct presence (ddp). por otro lado, los m\u00e9todos eager se encuentran representados por las redes neuronales (anns). Todos estos algoritmos se han probado con fines predictivos evaluando y comparando sus resultados. Se puede observar como los resultados de las redes neuronales superan a los obtenidos por algoritmos lazy. As\u00ed mismo, los sistemas de inteligencia artificial presentan mejores resultados que los obtenidos a parti<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Spai: substance prediction by artificial intelligence<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Spai: substance prediction by artificial intelligence <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Alexis Pey Torruella <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Ram\u00f3n llull<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/05\/2004<\/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>Juli? Sempere Cebrian<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: miquel Gassiot matas <\/li>\n<li>josep Mar\u00eda Garrell guiu (vocal)<\/li>\n<li> Casal i f?brega joaquim (vocal)<\/li>\n<li>Jes\u00fas Santamaria ramiro (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Alexis Pey Torruella La directiva europea 96\/82\/ec, conocida como seveso ii, requiere a las empresas qu\u00edmicas la [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[32959],"tags":[84634,84635,29019,49237,76922,69782],"class_list":["post-30039","post","type-post","status-publish","format-standard","hentry","category-ramon-llull","tag-alexis-pey-torruella","tag-casal-i-fbrega-joaquim","tag-jesus-santamaria-ramiro","tag-josep-maria-garrell-guiu","tag-juli-sempere-cebrian","tag-miquel-gassiot-matas"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/30039","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=30039"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/30039\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=30039"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=30039"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=30039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}