{"id":27565,"date":"2003-12-12T00:00:00","date_gmt":"2003-12-12T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/interpretacion-de-la-senal-de-falta-de-control-en-graficos-multivariantes-mediante-redes-neuronales\/"},"modified":"2003-12-12T00:00:00","modified_gmt":"2003-12-12T00:00:00","slug":"interpretacion-de-la-senal-de-falta-de-control-en-graficos-multivariantes-mediante-redes-neuronales","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/politecnica-de-valencia\/interpretacion-de-la-senal-de-falta-de-control-en-graficos-multivariantes-mediante-redes-neuronales\/","title":{"rendered":"Interpretaci\u00f3n de la se\u00f1al de falta de control en graficos multivariantes mediante redes neuronales"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Gerardo Avenda\u00f1o Prieto <\/strong><\/h2>\n<p>En los \u00faltimos a\u00f1os se ha producido un notable desarrollo en los m\u00e9todos de control estad\u00edstico de proceso multivariante basados en gr\u00e1ficos de control. Sin embargo, existe un inconveniente general al uso de estos gr\u00e1ficos, que consiste en que el gr\u00e1fico indica que se ha producido un cambio en el proceso, pero no dice cu\u00e1l o cu\u00e1les de las varibles son las que originan este cambio. Existen diversas propuestas para intentar resolver este problema, desde m\u00e9todos puramente gr\u00e1ficos, hasta propuestas de mayor contenido anal\u00edtico. entre estas \u00faltimas se destaca la propuesta de mason, tracy y young (1996, 1997, 2002)(m\u00e9todo mty) que es una descomposici\u00f3n del valor del estad\u00edstico t2. Hasta el momento no se ha estudiado su efectividad, es decir, su porcentaje de aciertos en la clasificaci\u00f3n de las variables. Uno de los objetivos de esta tesis doctoral consiste en optimizar el porcentaje de aciertos obtenidos con el m\u00e9todo mty. Luego se estudia el dise\u00f1o y efectividad de una red neuronal. El objetivo es que cuando el gr\u00e1fico t2 muestra una se\u00f1al de falta de control se aplique la red neuronal para averiguar qu\u00e9 variables han cambiado. Los resultados obtenidos con la red neuronal son claramente superiores a los del m\u00e9todo mty, en pr\u00e1cticamente todas las situaciones.  en el trabajo se realiza una comparaci\u00f3n entre ambos m\u00e9todos. Posteriormente se estudia el dise\u00f1o y efectividad de una red neuronal para interpretar la se\u00f1al de falta de control en los gr\u00e1ficos newma y varianza generalizada [s]. Tambi\u00e9n se muestra un software dise\u00f1ado para windows que facilita en gran medida el uso de esta red para cada uno de los gr\u00e1ficos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Interpretaci\u00f3n de la se\u00f1al de falta de control en graficos multivariantes mediante redes neuronales<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Interpretaci\u00f3n de la se\u00f1al de falta de control en graficos multivariantes mediante redes neuronales <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Gerardo Avenda\u00f1o Prieto <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 12\/12\/2003<\/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>Francisco Aparisi Garc\u00eda<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: andr\u00e9s Carri\u00f3n Garc\u00eda <\/li>\n<li>josep Ginebra molins (vocal)<\/li>\n<li>roberto Escuder valles (vocal)<\/li>\n<li>teresa VillaGarc\u00eda casla (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Gerardo Avenda\u00f1o Prieto En los \u00faltimos a\u00f1os se ha producido un notable desarrollo en los m\u00e9todos de [&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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