{"id":106037,"date":"2018-03-11T10:29:48","date_gmt":"2018-03-11T10:29:48","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/algoritmos-eficientes-incrementales-y-escalables-para-el-aprendizaje-en-redes-de-neuronas-artificiales\/"},"modified":"2018-03-11T10:29:48","modified_gmt":"2018-03-11T10:29:48","slug":"algoritmos-eficientes-incrementales-y-escalables-para-el-aprendizaje-en-redes-de-neuronas-artificiales","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencia-de-los-ordenadores\/algoritmos-eficientes-incrementales-y-escalables-para-el-aprendizaje-en-redes-de-neuronas-artificiales\/","title":{"rendered":"Algoritmos eficientes, incrementales y escalables para el aprendizaje en redes de neuronas artificiales"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Beatriz P\u00e9rez S\u00e1nchez <\/strong><\/h2>\n<p>Este trabajo se centra en el desarrollo de nuevos modelos de aprendizaje supervisado para redes de neuronas artificiales alimentadas hacia delante. En primer lugar, se plantean mejoras sobre m\u00e9todos de aprendizaje ya desarrollados, con el objeto de generalizar su comportamiento a nuevas situaciones manteniendo sus caracter\u00edsticas originales. En concreto, se plantea el empleo de la regularizaci\u00f3n para manejar situaciones donde es posible el fen\u00f3meno de sobreajuste a los datos. En segundo lugar, se desarrollan algoritmos de aprendizaje online tanto para redes de una capa como de dos, que permiten su aplicaci\u00f3n en entornos no estacionarios en los que el proceso a modelar no permanece inalterable. Adem\u00e1s, para el caso de las redes de dos capas,  este algoritmo online permitir\u00e1 que tambi\u00e9n la topolog\u00eda de la red se adapte de manera autom\u00e1tica seg\u00fan las necesidades del aprendizaje, a\u00f1adiendo unidades ocultas \u00fanicamente en caso necesario. En todo momento se persigue un aprovechamiento de los recursos disponibles. Para los algoritmos propuestos se incluye una descripci\u00f3n te\u00f3rica de sus capacidades, y su comportamiento se ilustra mediante su aplicaci\u00f3n a casos concretos y significativos. Finalmente se analizan los resultados obtenidos, extrayendo las principales conclusiones del comportamiento de cada m\u00e9todo, capacidades y limitaciones para su  aplicaci\u00f3n futura.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Algoritmos eficientes, incrementales y escalables para el aprendizaje en redes de neuronas artificiales<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Algoritmos eficientes, incrementales y escalables para el aprendizaje en redes de neuronas artificiales <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Beatriz P\u00e9rez S\u00e1nchez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 A coru\u00f1a<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 20\/12\/2010<\/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>Bertha Guijarro Berdi\u00f1as<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: enrique Castillo ron <\/li>\n<li>noelia S\u00e1nchez maro\u00f1o (vocal)<\/li>\n<li>Jos\u00e9 Manuel Gutierrez llorente (vocal)<\/li>\n<li>Antonio Bahamonde rionda (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Beatriz P\u00e9rez S\u00e1nchez Este trabajo se centra en el desarrollo de nuevos modelos de aprendizaje supervisado para [&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":[18576,1890,2528,7953],"tags":[10527,213591,106696,7020,116708,162436],"class_list":["post-106037","post","type-post","status-publish","format-standard","hentry","category-a-coruna","category-ciencia-de-los-ordenadores","category-inteligencia-artificial","category-redes-neuronales","tag-antonio-bahamonde-rionda","tag-beatriz-perez-sanchez","tag-bertha-guijarro-berdinas","tag-enrique-castillo-ron","tag-jose-manuel-gutierrez-llorente","tag-noelia-sanchez-marono"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/106037","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=106037"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/106037\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=106037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=106037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=106037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}