{"id":72761,"date":"2018-03-09T23:17:33","date_gmt":"2018-03-09T23:17:33","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/un-algoritmo-para-la-construccion-multiple-de-modelos-matematicos-no-lineales-y-el-estudio-de-su-estabilidad\/"},"modified":"2018-03-09T23:17:33","modified_gmt":"2018-03-09T23:17:33","slug":"un-algoritmo-para-la-construccion-multiple-de-modelos-matematicos-no-lineales-y-el-estudio-de-su-estabilidad","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/un-algoritmo-para-la-construccion-multiple-de-modelos-matematicos-no-lineales-y-el-estudio-de-su-estabilidad\/","title":{"rendered":"Un algoritmo para la construcci\u00f3n m\u00faltiple de modelos matem\u00e1ticos no lineales y el estudio de su estabilidad"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Ferran Verd\u00fa Monllor <\/strong><\/h2>\n<p>Este proyecto desarrolla un algoritmo para obtener m\u00faltiples modelos de regresi\u00f3n tanto lineales como no lineales en los par\u00e1metros. El algoritmo base  para la obtenci\u00f3n de los valores de los par\u00e1metros es el de gauss-newton, pero adaptado a la posibilidad de considerar m\u00faltiples modelos. Se establece, en este sentido, un m\u00e9todo de b\u00fasqueda basado en el esquema de programaci\u00f3n del \u00abbacktracking\u00bb donde se introducen criterios de poda en el \u00e1rbol de b\u00fasqueda basados en el estudio de la estabilidad de los modelos por medio del m\u00e9todo de monte carlo. El programa es aplicado sobre 32 ejemplos cl\u00e1sicos de regresi\u00f3n no lineal mostrando los resultados obtenidos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Un algoritmo para la construcci\u00f3n m\u00faltiple de modelos matem\u00e1ticos no lineales y el estudio de su estabilidad<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Un algoritmo para la construcci\u00f3n m\u00faltiple de modelos matem\u00e1ticos no lineales y el estudio de su estabilidad <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Ferran Verd\u00fa Monllor <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Alicante<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 18\/02\/2005<\/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>Yolanda Villacampa Esteve<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: jose Llorens sanchez <\/li>\n<li> Juan  Carlos cort\u00e9s l\u00f3pez (vocal)<\/li>\n<li>sastre Patricia (vocal)<\/li>\n<li>  (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ferran Verd\u00fa Monllor Este proyecto desarrolla un algoritmo para obtener m\u00faltiples modelos de regresi\u00f3n tanto lineales como [&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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