TY - GEN
T1 - Artificial neural network synthesis by means of artificial bee colony (ABC) algorithm
AU - Garro, Beatriz A.
AU - Sossa, Humberto
AU - Vazquez, Roberto A.
PY - 2011
Y1 - 2011
N2 - Artificial bee colony (ABC) algorithm has been used in several optimization problems, including the optimization of synaptic weights from an Artificial Neural Network (ANN). However, this is not enough to generate a robust ANN. For that reason, some authors have proposed methodologies based on so-called metaheuristics that automatically allow designing an ANN, taking into account not only the optimization of the synaptic weights as well as the ANN's architecture, and the transfer function of each neuron. However, those methodologies do not generate a reduced design (synthesis) of the ANN. In this paper, we present an ABC based methodology, that maximizes its accuracy and minimizes the number of connections of an ANN by evolving at the same time the synaptic weights, the ANN's architecture and the transfer functions of each neuron. The methodology is tested with several pattern recognition problems.
AB - Artificial bee colony (ABC) algorithm has been used in several optimization problems, including the optimization of synaptic weights from an Artificial Neural Network (ANN). However, this is not enough to generate a robust ANN. For that reason, some authors have proposed methodologies based on so-called metaheuristics that automatically allow designing an ANN, taking into account not only the optimization of the synaptic weights as well as the ANN's architecture, and the transfer function of each neuron. However, those methodologies do not generate a reduced design (synthesis) of the ANN. In this paper, we present an ABC based methodology, that maximizes its accuracy and minimizes the number of connections of an ANN by evolving at the same time the synaptic weights, the ANN's architecture and the transfer functions of each neuron. The methodology is tested with several pattern recognition problems.
UR - http://www.scopus.com/inward/record.url?scp=80051977275&partnerID=8YFLogxK
U2 - 10.1109/CEC.2011.5949637
DO - 10.1109/CEC.2011.5949637
M3 - Contribución a la conferencia
AN - SCOPUS:80051977275
SN - 9781424478347
T3 - 2011 IEEE Congress of Evolutionary Computation, CEC 2011
SP - 331
EP - 338
BT - 2011 IEEE Congress of Evolutionary Computation, CEC 2011
T2 - 2011 IEEE Congress of Evolutionary Computation, CEC 2011
Y2 - 5 June 2011 through 8 June 2011
ER -