TY  - JOUR 
TI  - Ambiente software de entrenamiento de redes neuronales con ajuste evolutivo de la topología y las funciones de activación
JO  - Sistemas y Telemática;Vol.7 No.13
PB  - Universidad Icesi
PY  - 2009
issn 16925238
AB  - This research examines two problems
in the optimization in the neural
networks used for most real applications:
first, architectural design that
involves determining the number
of layers and neurons by layer, and
second, the activation functions that
will be should use in each of these
layers. For it is developed a software
tool based on genetic algorithms to
find these parameters of a neural
network. The developed tool allows
the user to choose the algorithm used
for training and also apply techniques
to achieve better generalization such
as the early stopping, the repetition
of training and adjusting the training
data to the activation functions used.
Finally, the developed tool is tested
into a specialized group of users who
use the tool to find an optimal neural
network architecture to solve a problem
of identity verification through
the facial image using artificial neural
networks.
KW  - Redes neuronales
KW  - Algoritmos genéticos
KW  - Computación
KW  - Optimización
KW  - Producción intelectual registrada - Universidad Icesi
KW  - Sistemas & Telemática
KW  - Neural networks
KW  - Genetic algorithms
UR  - http://www.icesi.edu.co/revistas/index.php/sistemas_telematica/article/view/1009
ER  -