TY - GEN
T1 - Evolving neural networks
T2 - 2nd International Conference on Swarm Intelligence, ICSI 2011
AU - Garro, Beatriz A.
AU - Sossa, Humberto
AU - Vázquez, Roberto A.
PY - 2011
Y1 - 2011
N2 - Due to their efficiency and adaptability, bio-inspired algorithms have shown their usefulness in a wide range of different non-linear optimization problems. In this paper, we compare two ways of training an artificial neural network (ANN): Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms. The main contribution of this paper is to show which of these two algorithms provides the best accuracy during the learning phase of an ANN. First of all, we explain how the ANN training phase could be seen as an optimization problem. Then, we explain how PSO and DE could be applied to find the best synaptic weights of the ANN. Finally, we perform a comparison between PSO and DE approaches when used to train an ANN applied to different non-linear problems.
AB - Due to their efficiency and adaptability, bio-inspired algorithms have shown their usefulness in a wide range of different non-linear optimization problems. In this paper, we compare two ways of training an artificial neural network (ANN): Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms. The main contribution of this paper is to show which of these two algorithms provides the best accuracy during the learning phase of an ANN. First of all, we explain how the ANN training phase could be seen as an optimization problem. Then, we explain how PSO and DE could be applied to find the best synaptic weights of the ANN. Finally, we perform a comparison between PSO and DE approaches when used to train an ANN applied to different non-linear problems.
UR - http://www.scopus.com/inward/record.url?scp=79958220789&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21515-5_53
DO - 10.1007/978-3-642-21515-5_53
M3 - Contribución a la conferencia
SN - 9783642215148
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 447
EP - 454
BT - Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Proceedings
Y2 - 12 June 2011 through 15 June 2011
ER -