Diseño y entrenamiento en paralelo de redes neuronales, por medio de algoritmos geneticos desordenados y altamente recursivos


Authors

  • Delia Johana Munoz

Abstract

El siguiente trabajo ataca de manera inusual, dos típicos problemas de optimización, como lo son, el diseño (capas-neuronas) y entrenamiento (acople de pesos) de una red neuronal artificial. Para tal propósito se hace uso de un algoritmo genético adaptado, que en últimas y al menos en teoría, poseerá la capacidad de predecir de manera óptima el diseño y el resultado del entrenamiento de una RNA (Red Neuronal Artificial), para alguna tarea en particular que el programador desee que aprenda. También se considera la gama de dificultades y limitaciones que se generan en el sistema, animando y dando recursos al lector para el desarrollo de una posible evolución de la técnica.

Downloads

Download data is not yet available.

Downloads

Published

2006-01-05

How to Cite

Munoz, D. J. (2006). Diseño y entrenamiento en paralelo de redes neuronales, por medio de algoritmos geneticos desordenados y altamente recursivos. Scientia Et Technica, 1(30). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/6559

Issue

Vol. 1 No. 30 (2006)

Section

Sistemas y Computación

License

Copyright (c) 2017 Scientia et technica

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyrights

The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:

In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.

The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright.  Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.