Journal
NEUROCOMPUTING
Volume 71, Issue 4-6, Pages 1054-1060Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2007.10.013
Keywords
artificial neural network; particle swarm optimization; evolution strategies
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This paper presents an improved particle swarm optimization (PSO) and discrete PSO (DPSO) with an enhancement operation by using a self-adaptive evolution strategies (ES). This improved PSO/DPSO is proposed for joint optimization of three-layer feedforward artificial neural network (ANN) structure and parameters (weights and bias), which is named ESPNet. The experimental results on two real-world problems show that ESPNet can produce compact ANNs with good generalization ability. (c) 2007 Elsevier B.V. All rights reserved.
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