Electromagnetic algorithm for tuning the structure and parameters of neural networks

Ayad Mashaan Turky, Salwani Abdullah, Nasser R. Sabar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electromagnetic algorithm is a population based meta-heuristic which imitates the attraction and repulsion of sample points. In this paper, we propose an electromagnetic algorithm to simultaneously tune the structure and parameter of the feed forward neural network. Each solution in the electromagnetic algorithm contains both the design structure and the parameters values of the neural network. This solution later will be used by the neural network to represents its configuration. The classification accuracy returned by the neural network represents the quality of the solution. The performance of the proposed method is verified by using the well-known classification benchmarks and compared against the latest methodologies in the literature. Empirical results demonstrate that the proposed algorithm is able to obtain competitive results, when compared to the best-known results in the literature.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-331
Number of pages6
ISBN (Print)9781479914883
DOIs
Publication statusPublished - 16 Sep 2014
Event2014 IEEE Congress on Evolutionary Computation, CEC 2014 - Beijing
Duration: 6 Jul 201411 Jul 2014

Other

Other2014 IEEE Congress on Evolutionary Computation, CEC 2014
CityBeijing
Period6/7/1411/7/14

Fingerprint

Tuning
Neural Networks
Neural networks
Sample point
Feedforward neural networks
Feedforward Neural Networks
Metaheuristics
Benchmark
Configuration
Methodology
Demonstrate

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Turky, A. M., Abdullah, S., & Sabar, N. R. (2014). Electromagnetic algorithm for tuning the structure and parameters of neural networks. In Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 (pp. 326-331). [6900291] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2014.6900291

Electromagnetic algorithm for tuning the structure and parameters of neural networks. / Turky, Ayad Mashaan; Abdullah, Salwani; Sabar, Nasser R.

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 326-331 6900291.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Turky, AM, Abdullah, S & Sabar, NR 2014, Electromagnetic algorithm for tuning the structure and parameters of neural networks. in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014., 6900291, Institute of Electrical and Electronics Engineers Inc., pp. 326-331, 2014 IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, 6/7/14. https://doi.org/10.1109/CEC.2014.6900291
Turky AM, Abdullah S, Sabar NR. Electromagnetic algorithm for tuning the structure and parameters of neural networks. In Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 326-331. 6900291 https://doi.org/10.1109/CEC.2014.6900291
Turky, Ayad Mashaan ; Abdullah, Salwani ; Sabar, Nasser R. / Electromagnetic algorithm for tuning the structure and parameters of neural networks. Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 326-331
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