{"id":36923,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/extraccion-de-conocimiento-simbolico-en-redes-de-neuronas-artificiales\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"extraccion-de-conocimiento-simbolico-en-redes-de-neuronas-artificiales","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/extraccion-de-conocimiento-simbolico-en-redes-de-neuronas-artificiales\/","title":{"rendered":"Extraccion de conocimiento simbolico en redes de neuronas artificiales."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Ana Martinez Blanco <\/strong><\/h2>\n<p>Se presenta un modelo para la extracci\u00f3n de conocimiento simbolico partir de los pesos en una red neuronal artificial. El modelo se puede dividir en dos apartados principales. El primero aborda la relaci\u00f3n de conocimiento almacenado en los pesos, el nivel de aprendizaje de la red y el nuevo algoritmo implementado para la extracci\u00f3n de reglas a partir de los pesos. La segunda parte plantea un m\u00e9todo para la globalizaci\u00f3n de las salidas. Se parte de realizada la primera fase de extracci\u00f3n de conocimiento y obtenidas las reglas, la necesidad de definir un sistema de control que decida cual es la regla a activar ante una nueva entrada. Esta segunda parte contiene el procedimiento para el dise\u00f1o de un sistema de predicci\u00f3n o sistema de control en el que entran las redes neuronales, la l\u00f3gica borrosa, los sistemas de control y los sistemas expertos.  para la puesta en pr\u00e1ctica del m\u00e9todo, una primera aproximaci\u00f3n ha sido el estudio de los pesos en el aprendizaje de reglas l\u00f3gicas. Como ejemplo de aplicaci\u00f3n de todo el modelo se realiza una aplicaci\u00f3n pr\u00e1ctica sobre la predicci\u00f3n de la demanda de carga el\u00e9ctrica.  por \u00faltimo la comparaci\u00f3n del modelo con otros m\u00e9todos de predicci\u00f3n estad\u00edsticos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Extraccion de conocimiento simbolico en redes de neuronas artificiales.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Extraccion de conocimiento simbolico en redes de neuronas artificiales. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Ana Martinez Blanco <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/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>Juan  B. Castellanos Pe\u00f1uela<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Rafael Gonzalo Molina <\/li>\n<li>Antonio De Amescua Seco (vocal)<\/li>\n<li>Mercedes Perez Castellanos (vocal)<\/li>\n<li>Pedro Isasi Vi\u00f1uela (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ana Martinez Blanco Se presenta un modelo para la extracci\u00f3n de conocimiento simbolico partir de los pesos [&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":[1890,2528,126,16008],"tags":[97347,49579,30570,97348,16321,68121],"class_list":["post-36923","post","type-post","status-publish","format-standard","hentry","category-ciencia-de-los-ordenadores","category-inteligencia-artificial","category-matematicas","category-politecnica-de-madrid","tag-ana-Martinez-blanco","tag-antonio-de-amescua-seco","tag-juan-b-castellanos-penuela","tag-mercedes-perez-castellanos","tag-pedro-isasi-vinuela","tag-rafael-gonzalo-molina"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/36923","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=36923"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/36923\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=36923"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=36923"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=36923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}