{"id":59819,"date":"2007-10-07T00:00:00","date_gmt":"2007-10-07T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/nuevos-modelos-de-redes-neuronales-competitivas-basadas-en-analisis-de-componentes-principales\/"},"modified":"2007-10-07T00:00:00","modified_gmt":"2007-10-07T00:00:00","slug":"nuevos-modelos-de-redes-neuronales-competitivas-basadas-en-analisis-de-componentes-principales","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/nuevos-modelos-de-redes-neuronales-competitivas-basadas-en-analisis-de-componentes-principales\/","title":{"rendered":"Nuevos modelos de redes neuronales competitivas basadas en an\u00e1lisis de componentes principales"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Ortiz De Lazcano Lobato Juan  Miguel <\/strong><\/h2>\n<p>El an\u00e1lisis de componentes principales local es una t\u00e9cnica de gran utilidad para tratar un conjunto de datos de gran dimensi\u00f3n, con el objetivo de reducir su tama\u00f1o a unas pocas componentes significativas y evitar, de esa manera, la maldici\u00f3n de la dimensionalidad. el presente trabajo desarrolla varios sistemas neuronales on supervisados (dos competitivos y no autoorganizado) donde cada neurona es capaz de realizar un an\u00e1lisis de componentes principales sobre las muestras pertenecientes a su campo receptivo. De esta forma se consigue una mayor capacidad de representaci\u00f3n de estos nuevos modelos con respecto a los modelos competitivo y autoorganizado cl\u00e1sicos. Se comprueba emp\u00edricamente como dichos novedosos modelos presentan un buen rendimiento cuando se aplican al problema de reducci\u00f3n de la dimensi\u00f3n de un conjunto de datos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Nuevos modelos de redes neuronales competitivas basadas en an\u00e1lisis de componentes principales<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Nuevos modelos de redes neuronales competitivas basadas en an\u00e1lisis de componentes principales <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Ortiz De Lazcano Lobato Juan  Miguel <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 M\u00e1laga<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 10\/07\/2007<\/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>Ezequiel L\u00f3pez Rubio<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Miguel Delgado calvo-flores <\/li>\n<li>c\u00e9sar Hervas mar\u00c2\u00bftinez (vocal)<\/li>\n<li>david Elizondo (vocal)<\/li>\n<li>armando Blanco mor\u00f3n (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ortiz De Lazcano Lobato Juan Miguel El an\u00e1lisis de componentes principales local es una t\u00e9cnica de gran [&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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