{"id":8878,"date":"1995-01-01T00:00:00","date_gmt":"1995-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/1995\/01\/01\/nuevos-metodos-de-modelado-localmente-lineal\/"},"modified":"1995-01-01T00:00:00","modified_gmt":"1995-01-01T00:00:00","slug":"nuevos-metodos-de-modelado-localmente-lineal","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/nuevos-metodos-de-modelado-localmente-lineal\/","title":{"rendered":"Nuevos metodos de modelado localmente lineal"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Pantaleon Prieto Carlos Jose <\/strong><\/h2>\n<p>Esta tesis trata sobre modelos no lineales y, en particular, sobre modelos localmente lineales, es decir, modelos compuestos de varios modelos lineales, cada uno activo para determinadas condiciones de entrada. En este trabajo se proponen tres esctructuras para realizar modelos localmente lineales: el modelo competitivo, algunas extensiones del ya conocido modelo canonico y el modelo neuronal.  la estimacion del modelo competitivo se basa en la competencia entre modelos lineales: comenzando con modelos inicializados aleatoriamente se presentan, secuencialmente, vectores de datos a todos los modelos; el que mejor aproxime el valor deseado se entrena mediante lms, el resto no se modifican. Este algoritmo, al que se ha bautizado como lms competitivo, tambien se deduce como resultado de la optimizacion mediante descenso por gradiente de una funcion cuadratica del error.  con respecto al modelo canonico se propone una extension suavizada mediante la sustitucion de la funcion modulo que en el aparece por una funcion logistica. El modelo neuronal se deduce como una evolucion de las redes basadas en funciones de base radial (rbf) y tambien se presenta una version suavizada.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Nuevos metodos de modelado localmente lineal<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Nuevos metodos de modelado localmente lineal <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Pantaleon Prieto Carlos Jose <\/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\/1995<\/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  Ram\u00f3n Vidal Roman\u00ed<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Ram\u00f3n Casar Corredera <\/li>\n<li>Jos\u00e9 Mira Mira (vocal)<\/li>\n<li>Miguel Angel Lagunas Hern\u00e1ndez (vocal)<\/li>\n<li>Domingo Docampo Amoedo (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Pantaleon Prieto Carlos Jose Esta tesis trata sobre modelos no lineales y, en particular, sobre modelos localmente [&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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