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Optimizing artificial neural networks using levy-chaotic mapping on wolf pack optimization algorithm for detect driving sleepiness
المؤلفون المشاركون
Turner, Scott
Abd al-Hasan, Alya Karim
Jasim, Sarah Sadun
المصدر
Iraqi Journal of Computer, Communications and Control Engineering
العدد
المجلد 22، العدد 3 (30 سبتمبر/أيلول 2022)، ص ص. 128-136، 9ص.
الناشر
تاريخ النشر
2022-09-30
دولة النشر
العراق
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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%
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 135-136
رقم السجل
BIM-1492797
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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