Entrenamiento de una red neuronal artificial usando el algoritmo simulated annealing


Authors

  • German Alonso Gómez Rojas
  • Juan Carlos Henao López
  • Harold Salazar Isaza

Abstract

La modificación de los pesos y bias con un algoritmo de entrenamiento de un perceptrón multicapa es un problema clásico de programación no lineal irrestricto. El presente trabajo muestra el desempeño del “Simulated Annealing” como algoritmo de entrenamiento de esta red neuronal resolviendo dos problemas clásicos en redes neuronales, el problema de la “Codificación” y el problema de la “Doble Espiral”. Resultados de buena calidad son obtenidos cuando se compara esta propuesta frente a algoritmos clásicos de entrenamiento.

Downloads

Download data is not yet available.

Downloads

Published

2004-01-05

How to Cite

Gómez Rojas, G. A., Henao López, J. C., & Salazar Isaza, H. (2004). Entrenamiento de una red neuronal artificial usando el algoritmo simulated annealing. Scientia Et Technica, 1(24). Retrieved from https://ojs2.utp.edu.co/index.php/revistaciencia/article/view/7307

Issue

Vol. 1 No. 24 (2004)

Section

Eléctrica

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.