Secuencia operativa de componentes mediante sistemas neurodifusos para análisis de confiabilidad
Abstract
Las redes neuronales y los sistemas difusos se consideran aproximadores universales, por lo que pueden ser combinadas de tal forma que originen métodos más eficientes en cuanto al mapeo de datos entrada - salida. Este artículo propone la implementación de un sistema neurodifuso que permita construir la secuencia operativa de los componentes de un sistema eléctrico de potencia para estudios de confiabilidad.Downloads
Downloads
-
Vistas(Views): 399
- PDF (Español (España)) Descargas(Downloads): 293
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Scientia et technica

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The undersigned authors declare that the article submitted to the journal Scientia et Technica is an original work and that all its content is free of third-party copyright restrictions or has the corresponding authorizations. Consequently, the authors assume responsibility for any litigation or claim related to intellectual property rights, releasing the Technological University of Pereira and the journal Scientia et Technica from any liability.
If the submitted work is accepted for publication, the authors retain copyright to the article and grant the journal Scientia et Technica the right of first publication, as well as a non-exclusive, perpetual license to reproduce, edit, distribute, display, and publicly communicate the article in any medium or format, including print, electronic, databases, repositories, the Internet, or other scientific dissemination systems. The authors agree that the article will be published in open access and distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
The journal Scientia will respect in all cases the moral rights of the authors, in accordance with the provisions of article 30 of Law 23 of 1982 of the Republic of Colombia, recognizing the authorship of the work, the right to integrity and the right of disclosure, which are inalienable and non-waivable.