A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training
Joint Authors
Hacibeyoglu, Mehmet
Ibrahim, Mohammed H.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Multilayer feed-forward artificial neural networks are one of the most frequently used data mining methods for classification, recognition, and prediction problems.
The classification accuracy of a multilayer feed-forward artificial neural networks is proportional to training.
A well-trained multilayer feed-forward artificial neural networks can predict the class value of an unseen sample correctly if provided with the optimum weights.
Determining the optimum weights is a nonlinear continuous optimization problem that can be solved with metaheuristic algorithms.
In this paper, we propose a novel multimean particle swarm optimization algorithm for multilayer feed-forward artificial neural networks training.
The proposed multimean particle swarm optimization algorithm searches the solution space more efficiently with multiple swarms and finds better solutions than particle swarm optimization.
To evaluate the performance of the proposed multimean particle swarm optimization algorithm, experiments are conducted on ten benchmark datasets from the UCI repository and the obtained results are compared to the results of particle swarm optimization and other previous research in the literature.
The analysis of the results demonstrated that the proposed multimean particle swarm optimization algorithm performed well and it can be adopted as a novel algorithm for multilayer feed-forward artificial neural networks training.
American Psychological Association (APA)
Hacibeyoglu, Mehmet& Ibrahim, Mohammed H.. 2018. A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training. Scientific Programming،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214637
Modern Language Association (MLA)
Hacibeyoglu, Mehmet& Ibrahim, Mohammed H.. A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training. Scientific Programming No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1214637
American Medical Association (AMA)
Hacibeyoglu, Mehmet& Ibrahim, Mohammed H.. A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214637
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214637