{"id":97494,"date":"2018-03-11T10:18:03","date_gmt":"2018-03-11T10:18:03","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/random-forest-y-soft-computing-analisis-diseno-y-construccion-de-un-fuzzy-random-forest\/"},"modified":"2018-03-11T10:18:03","modified_gmt":"2018-03-11T10:18:03","slug":"random-forest-y-soft-computing-analisis-diseno-y-construccion-de-un-fuzzy-random-forest","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/random-forest-y-soft-computing-analisis-diseno-y-construccion-de-un-fuzzy-random-forest\/","title":{"rendered":"Random forest y soft computing: an\u00e1lisis, dise\u00f1o y construcci\u00f3n de un fuzzy random forest"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Ram\u00f3n Andr\u00e9s D\u00edaz Valladares <\/strong><\/h2>\n<p>Esta tesis presenta una propuesta relacionada con las tareas de clasificaci\u00f3n del aprendizaje autom\u00e1tico.  La propuesta abarca los distintos niveles necesarios para dise\u00f1ar e implementar un multiclasificador que posee la habilidad de procesar datos con informaci\u00f3n imperfecta. La intenci\u00f3n es presentar un clasificador que mantenga un alto grado de precisi\u00f3n con datos crisp y que tambi\u00e9n sea capaz de procesar etiquetas ling\u00ed\u00bc\u00edsticas manteniendo un buen rendimiento ante datos missing y diferentes tipos de ruido. para lograrlo se han empleado t\u00e9cnicas de soft computing (especialmente la l\u00f3gica fuzzy) generando algoritmos, m\u00e9todos y procedimientos que se han conjuntado en una propuesta metodol\u00f3gica que hemos llamado fuzzy random forest. Tambi\u00e9n se han planteado una amplia variedad de m\u00e9todos de combinaci\u00f3n para trabajar con fuzzy random forest. fuzzy random forest est\u00e1 inspirado en la metodolog\u00eda random forest de breiman, sin embargo los dos elementos principales que lo conforman son: un \u00e1rbol fuzzy, como clasificador base, en el que se introducen elementos aleatorios y los m\u00e9todos de combinaci\u00f3n que fusionan la informaci\u00f3n o votos de cada \u00e1rbol. con este planteamiento hemos producido una implementaci\u00f3n software frf v1.0  y hemos podido realizar amplias pruebas experimentales ajustando sus par\u00e1metros y comparando los resultados obtenidos con frf v1.0 y el de los mejores clasificadores y multiclasificadores reportados en la literatura.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Random forest y soft computing: an\u00e1lisis, dise\u00f1o y construcci\u00f3n de un fuzzy random forest<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Random forest y soft computing: an\u00e1lisis, dise\u00f1o y construcci\u00f3n de un fuzzy random forest <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Ram\u00f3n Andr\u00e9s D\u00edaz Valladares <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Murcia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 27\/11\/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>M. Carmen Garrido Carrera<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Luis Verdegay galdeano <\/li>\n<li>M\u00aa teresa Lamata jim\u00e9nez (vocal)<\/li>\n<li>vicente Liern carri\u00f3n (vocal)<\/li>\n<li>piero Bonissone (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ram\u00f3n Andr\u00e9s D\u00edaz Valladares Esta tesis presenta una propuesta relacionada con las tareas de clasificaci\u00f3n del aprendizaje [&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":[2528,8235],"tags":[3604,172869,170814,35618,199743,27190],"class_list":["post-97494","post","type-post","status-publish","format-standard","hentry","category-inteligencia-artificial","category-murcia","tag-jose-luis-verdegay-galdeano","tag-m-carmen-garrido-carrera","tag-ma-teresa-lamata-jimenez","tag-piero-bonissone","tag-ramon-andres-diaz-valladares","tag-vicente-liern-carrion"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/97494","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=97494"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/97494\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=97494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=97494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=97494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}