| dc.creator | Molina Vargas, Jason Edwin | |
| dc.creator | Restrepo Patiño, Carlos Alberto | |
| dc.date | 2011-03-07T16:52:57Z | |
| dc.date | 2021-11-02T19:30:36Z | |
| dc.date | 2011-03-07T16:52:57Z | |
| dc.date | 2021-11-02T19:30:36Z | |
| dc.date | 2007 | |
| dc.identifier | Scientia et Technica Año XIII, No. 34 (Mayo 2007) | |
| dc.identifier | 0122-1701 | |
| dc.identifier | http://www.utp.edu.co/php/revistas/ScientiaEtTechnica/docsFTP/8126103-107.pdf | |
| dc.identifier | https://hdl.handle.net/11059/215 | |
| dc.description | Este documento contiene la formulación para efectuar el entrenamiento de una red neuronal con el algoritmo Backpropagation, en el cual se ha usado un método poco usual, el cual es la formulación del mismo utilizando matrices. Esto se realiza aprovechando el hecho de que algunas operaciones permiten ser realizadas como las que usualmente se utilizan con matrices. Además las
operaciones matriciales proporcionan una notación y una programación mucho más resumida, lo cual se ve reflejado en el tiempo computacional. | |
| dc.description | This document contains the formulation to carry out the training of a neural network using the Backpropagation algorithm, in which a little usual method has been used, which is its formulation using matrices. This is made taking
advantage of the fact that some operations allow to be done like which usually they are used with matrices, and in addition the matrix operations provide a notation and a programming much more summarized, which is reflected in the
computational time. | |
| dc.format | PDF | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | spa | |
| dc.publisher | Pereira : Universidad Tecnológica de Pereira | |
| dc.publisher | Facultad de Ciencias Básicas | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights | Open Access | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Red neuronal | |
| dc.subject | Entrenamiento | |
| dc.subject | Backpropagation | |
| dc.subject | Notación matricial | |
| dc.subject | Neural networks (Computer science) | |
| dc.subject | Training | |
| dc.subject | Backpropagation | |
| dc.subject | Matricial notation | |
| dc.title | Notación matricial en el entrenamiento de redes neuronales | |
| dc.type | Article | |
