{"id":40447,"date":"1999-01-01T00:00:00","date_gmt":"1999-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/modelos-neuroborrosos-para-la-prediccion-economica\/"},"modified":"1999-01-01T00:00:00","modified_gmt":"1999-01-01T00:00:00","slug":"modelos-neuroborrosos-para-la-prediccion-economica","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-economicas\/modelos-neuroborrosos-para-la-prediccion-economica\/","title":{"rendered":"Modelos neuroborrosos para la prediccion economica"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Manuel Landajo Alvarez <\/strong><\/h2>\n<p>El trabajo aborda un estudio general de los modelos neuroborrosos, sistemas h\u00edbridos dotados a la vez de la estructura de un sistema de reglas borrosas y de un mecanismo de entrenamiento de tipo neuronal.  los modelos neuroborrosos son sometidos a dos tipos de an\u00e1lisis. en primer lugar se obtienen un conjunto de teoremas de aproximaci\u00f3n universal en diferentes espacios de funciones, que generalizan resultados existentes, y a continuaci\u00f3n se analizan en el marco de la inferencia estad\u00edstica los procesos de aprendizaje a partir de muestras en los modelos neuronales y borrosos.  el an\u00e1lisis inferencial comienza con un primer grupo de resultados referidos a las capacidades de aproximaci\u00f3n no param\u00e9trica de estos modelos, en los que se hace uso de los tamices, para posteriormente analizar el aprendizaje de los modelos neuroborrosos desde la \u00f3ptica de la estimaci\u00f3n param\u00e9trica, estudiando el comportamiento asint\u00f3tico de una serie de mecanismos de entrenamiento (estimadores anal\u00f3gicos, algoritmos recursivos, aprendizae no supervisado, estimaci\u00f3n en dos fases).  finalmente se dedica un cap\u00edtulo al estudio de un conjunto de aplicaciones pr\u00e1cticas de estos modelos, tanto a datos artificiales como a diversas series econ\u00f3micas, que ilustran sus ventajas y permiten extraer algunas conclusiones sobre su utilizaci\u00f3n.#<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Modelos neuroborrosos para la prediccion economica<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Modelos neuroborrosos para la prediccion economica <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Manuel Landajo Alvarez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Oviedo<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1999<\/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>Rigoberto P\u00e9rez Su\u00e1rez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Otero moreno Jos\u00e9 Mar\u00eda <\/li>\n<li>alfredo Garcia guemes (vocal)<\/li>\n<li> Gil \u00e1lvarez pedro \u00e1ngel (vocal)<\/li>\n<li>amaya Zarraga castro (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Manuel Landajo Alvarez El trabajo aborda un estudio general de los modelos neuroborrosos, sistemas h\u00edbridos dotados a [&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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