Optimizing artificial neural networks using levy-chaotic mapping on wolf pack optimization algorithm for detect driving sleepiness
Joint Authors
Turner, Scott
Abd al-Hasan, Alya Karim
Jasim, Sarah Sadun
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 22, Issue 3 (30 Sep. 2022), pp.128-136, 9 p.
Publisher
Publication Date
2022-09-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains.
In this type of network, training and selecting parameters that define networks architecture play an important role in enhancing the accuracy of the network's output; Therefore, Prior to training, those parameters must be optimized.
Grey Wolf Optimizer (GWO) has been considered one of the efficient developed approaches in the Swarm Intelligence area that is used to solve real-world optimization problems.
However, GWO still faces a problem of the slump in local optimums in some places due to insufficient diversity.
This paper proposes a novel algorithm Levy Flight- Chaotic Chen mapping on Wolf Pack Algorithm in Neural Network.
It efficiently exploits the search regions to detect driving sleepiness and balance the exploration and exploitation operators, which are considered implied features of any stochastic search algorithm.
Due to the lack of dataset availability, a dataset of 15 participants has been collected from scratch to evaluate the proposed algorithm's performance.
The results show that the proposed algorithm achieves an accuracy of 99.3%
American Psychological Association (APA)
Jasim, Sarah Sadun& Abd al-Hasan, Alya Karim& Turner, Scott. 2022. Optimizing artificial neural networks using levy-chaotic mapping on wolf pack optimization algorithm for detect driving sleepiness. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 22, no. 3, pp.128-136.
https://search.emarefa.net/detail/BIM-1492797
Modern Language Association (MLA)
Jasim, Sarah Sadun…[et al.]. Optimizing artificial neural networks using levy-chaotic mapping on wolf pack optimization algorithm for detect driving sleepiness. Iraqi Journal of Computer, Communications and Control Engineering Vol. 22, no. 3 (Sep. 2022), pp.128-136.
https://search.emarefa.net/detail/BIM-1492797
American Medical Association (AMA)
Jasim, Sarah Sadun& Abd al-Hasan, Alya Karim& Turner, Scott. Optimizing artificial neural networks using levy-chaotic mapping on wolf pack optimization algorithm for detect driving sleepiness. Iraqi Journal of Computer, Communications and Control Engineering. 2022. Vol. 22, no. 3, pp.128-136.
https://search.emarefa.net/detail/BIM-1492797
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 135-136
Record ID
BIM-1492797