LAPSE:2018.0347
Published Article
LAPSE:2018.0347
Impact of Metaheuristic Iteration on Artificial Neural Network Structure in Medical Data
Ihsan Salman, Osman N. Ucan, Oguz Bayat, Khalid Shaker
July 31, 2018
Medical data classification is an important factor in improving diagnosis and treatment and can assist physicians in making decisions about serious diseases by collecting symptoms and medical analyses. In this work, hybrid classification optimization methods such as Genetic Algorithm (GA), Particle Swam Optimization (PSO), and Fireworks Algorithm (FWA), are proposed for enhancing the classification accuracy of the Artificial Neural Network (ANN). The enhancement process is tested through two experiments. First, the proposed algorithms are applied on five benchmark medical data sets from the repository of the University of California in Irvine (UCI). The model with the best results is then used in the second experiment, which focuses on tuning the parameters of the selected algorithm by choosing a different number of iterations in ANNs with different numbers of hidden layers. Enhanced ANN with the three optimization algorithms are tested on biological gene sequence big dataset obtained from The Cancer Genome Atlas (TCGA) repository. GA and FWA are statistically significant but PSO was statistically not, and GA overcame PSO and FWA in performance. The methodology is successful and registers improvements in every step, as significant results are obtained.
Keywords
ANN, classification, data mining, FWA, GA, metaheuristic algorithms, PSO
Suggested Citation
Salman I, Ucan ON, Bayat O, Shaker K. Impact of Metaheuristic Iteration on Artificial Neural Network Structure in Medical Data. (2018). LAPSE:2018.0347
Author Affiliations
Salman I: Altinbas University Graduate School of Science and Engineering, Istanbul 34217, Turkey; Computer Department, College of Basic Education, University of Diyala, Diyala 32001, Iraq [ORCID]
Ucan ON: Altinbas University Graduate School of Science and Engineering, Istanbul 34217, Turkey
Bayat O: Altinbas University Graduate School of Science and Engineering, Istanbul 34217, Turkey
Shaker K: College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq
[Login] to see author email addresses.
Journal Name
Processes
Volume
6
Issue
5
Article Number
E57
Year
2018
Publication Date
2018-05-16
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr6050057, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2018.0347
This Record
External Link

doi:10.3390/pr6050057
Publisher Version
Download
Files
[Download 1v1.pdf] (1.7 MB)
Jul 31, 2018
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
661
Version History
[v1] (Original Submission)
Jul 31, 2018
 
Verified by curator on
Jul 31, 2018
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2018.0347
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version