{"id":104735,"date":"2010-05-11T00:00:00","date_gmt":"2010-05-11T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/integracion-de-paradigmas-estudio-de-modelos-neuro-borrosos-extraccion-de-reglas-y-sus-aplicaciones\/"},"modified":"2010-05-11T00:00:00","modified_gmt":"2010-05-11T00:00:00","slug":"integracion-de-paradigmas-estudio-de-modelos-neuro-borrosos-extraccion-de-reglas-y-sus-aplicaciones","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ingenieria-de-procesos\/integracion-de-paradigmas-estudio-de-modelos-neuro-borrosos-extraccion-de-reglas-y-sus-aplicaciones\/","title":{"rendered":"Integraci\u00f3n de paradigmas: estudio de modelos neuro-borrosos, extracci\u00f3n de reglas y sus aplicaciones"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Rafael Del Hoyo Alonso <\/strong><\/h2>\n<p>Este documento representa un compendio de los resultados y contribuciones realizadas por el autor al estado del arte de los sistemas decisionales basados en t\u00e9cnicas de softcomputing. En \u00e9l se describen los esfuerzos desarrollados en los sistemas de ayuda a la toma de decisiones basados en herramientas de softcomputing y, en especial, de la aplicabilidad de los algoritmos neuro-borrosos. Como primer resultado de la tesis cabe destacar el nuevo modelo neuro-borroso fghsom desarrollado. Dicho nuevo modelo aborda el problema (y equilibrio) entre interpretabilidad y precisi\u00f3n de este tipo de algoritmos. Como segundo resultado destacar\u00edamos el sistema de ayuda a la toma de decisiones prophet desarrollado durante el periodo de confecci\u00f3n de la tesis, as\u00ed como las aplicaciones realizadas mediante esta herramienta en los campos de telecomunicaciones y la log\u00edstica.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Integraci\u00f3n de paradigmas: estudio de modelos neuro-borrosos, extracci\u00f3n de reglas y sus aplicaciones<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Integraci\u00f3n de paradigmas: estudio de modelos neuro-borrosos, extracci\u00f3n de reglas y sus aplicaciones <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Rafael Del Hoyo Alonso <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Zaragoza<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 05\/11\/2010<\/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>Nicol\u00e1s Medrano Marqu\u00e9s<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: armando Roy yarza <\/li>\n<li>vanessa Gomez verdejo (vocal)<\/li>\n<li>Santiago Cuesta l\u00f3pez (vocal)<\/li>\n<li>Manuel Castro gil (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Rafael Del Hoyo Alonso Este documento representa un compendio de los resultados y contribuciones realizadas por el 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