{"id":12763,"date":"2018-03-09T08:58:45","date_gmt":"2018-03-09T08:58:45","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/prediccion-de-series-temporales-con-redes-neuronales-de-funciones-radiales-y-tecnicas-de-descomposicion-matricial\/"},"modified":"2018-03-09T08:58:45","modified_gmt":"2018-03-09T08:58:45","slug":"prediccion-de-series-temporales-con-redes-neuronales-de-funciones-radiales-y-tecnicas-de-descomposicion-matricial","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/prediccion-de-series-temporales-con-redes-neuronales-de-funciones-radiales-y-tecnicas-de-descomposicion-matricial\/","title":{"rendered":"Predicci\u00f3n de series temporales con redes neuronales de funciones radiales y t\u00e9cnicas de descomposici\u00f3n matricial."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Mois\u00e9s Salmer\u00f3n Campos <\/strong><\/h2>\n<p>En esta tesis doctoral se investiga el rendimiento de algoritmos para redes neuronales artificiales (rnas) en el contexto de aplicaciones relacionadas con la predicci\u00f3n de series temporales complicadas.  se postula un modelo basado en rbfs (radial basis functions, redes de funciones radiales) y en la descomposici\u00f3n ortogonal de matrices de datos formadas a partir de valores end\u00f3genos de series temporales,y se demuestra la capacidad del mismo para conseguir predicicones m\u00e1s precisas, con lo cual se puede ayudar a la mejora de acciones de control o de toma de decisiones en entornos industriales, sociales y econ\u00f3micos. El modelo descrito se denota por \u00abnapa-pred\u00bb (neural model with automatic parameer adjustement for prediction; o modelo neuronal con ajuste autom\u00e1tico de par\u00e1metros para predicci\u00f3n). Este modelo es capaz de determinar el n\u00famero \u00f3ptimo, as\u00ed como la configuraci\u00f3n o disposici\u00f3n temporal, de los retardos en los nodos de entrada.Tambi\u00e9n es capaz de determinar el n\u00faemro \u00f3ptimo (a efectos pr\u00e1cticos) de nodos o neuronas (rbfs) en la red neuronal artificial.  tambi\u00e9n, se consigue una mejora adicional mediante la hibridaci\u00f3n de este modelo con otras t\u00e9cnicas como el an\u00e1lisis de componentes principales (pca) para controlar el efecto de datos ex\u00f3genos (externos a la serie), o la metodolog\u00eda estad\u00edstica arima para modelar y reducir el error de aproximaci\u00f3n neuronal.  adicionalmente, se describe una nueva forma de paralelizar el esquema de descomposici\u00f3n matricial empleado, en lo que concierne a la transformaci\u00f3n qr-cp, lo cual conduce a una ganancia de velocidad muy aceptable cuando se implementa el procedimiento sobre plataformas de c\u00f3mputo relativamente asequible, como \u00abclusters\u00bb de computadores personales.  las aplicaciones que se describen en las seccioens experimentales incluyen la predicic\u00f3na largo plazo de series temporales de comportamiento ca\u00f3tico, la mejora en la predicci\u00f3n del consumo en una red<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Predicci\u00f3n de series temporales con redes neuronales de funciones radiales y t\u00e9cnicas de descomposici\u00f3n matricial.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Predicci\u00f3n de series temporales con redes neuronales de funciones radiales y t\u00e9cnicas de descomposici\u00f3n matricial. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Mois\u00e9s Salmer\u00f3n Campos <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Granada<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 17\/09\/2001<\/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>Julio Ortega Lopera<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco jos\u00e9 Pelayo valle <\/li>\n<li>gonzalo Joya caparr\u00f3s (vocal)<\/li>\n<li>Mar\u00eda Reyneri leonardo (vocal)<\/li>\n<li>consolacion Gil montoya (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Mois\u00e9s Salmer\u00f3n Campos En esta tesis doctoral se investiga el rendimiento de algoritmos para redes neuronales artificiales 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