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Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms
Joint Authors
Garro, Beatriz A.
Vázquez, Roberto A.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-29
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Artificial Neural Network (ANN) design is a complex task because its performance depends on the architecture, the selected transfer function, and the learning algorithm used to train the set of synaptic weights.
In this paper we present a methodology that automatically designs an ANN using particle swarm optimization algorithms such as Basic Particle Swarm Optimization (PSO), Second Generation of Particle Swarm Optimization (SGPSO), and a New Model of PSO called NMPSO.
The aim of these algorithms is to evolve, at the same time, the three principal components of an ANN: the set of synaptic weights, the connections or architecture, and the transfer functions for each neuron.
Eight different fitness functions were proposed to evaluate the fitness of each solution and find the best design.
These functions are based on the mean square error (MSE) and the classification error (CER) and implement a strategy to avoid overtraining and to reduce the number of connections in the ANN.
In addition, the ANN designed with the proposed methodology is compared with those designed manually using the well-known Back-Propagation and Levenberg-Marquardt Learning Algorithms.
Finally, the accuracy of the method is tested with different nonlinear pattern classification problems.
American Psychological Association (APA)
Garro, Beatriz A.& Vázquez, Roberto A.. 2015. Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1057689
Modern Language Association (MLA)
Garro, Beatriz A.& Vázquez, Roberto A.. Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-20.
https://search.emarefa.net/detail/BIM-1057689
American Medical Association (AMA)
Garro, Beatriz A.& Vázquez, Roberto A.. Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1057689
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057689