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Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing
المؤلف
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-14
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Recent advances in modern manufacturing industries have created a great need to track and identify objects and parts by obtaining real-time information.
One of the main technologies which has been utilized for this need is the Radio Frequency Identification (RFID) system.
As a result of adopting this technology to the manufacturing industry environment, RFID Network Planning (RNP) has become a challenge.
Mainly RNP deals with calculating the number and position of antennas which should be deployed in the RFID network to achieve full coverage of the tags that need to be read.
The ultimate goal of this paper is to present and evaluate a way of modelling and optimizing nonlinear RNP problems utilizing artificial intelligence (AI) techniques.
This effort has led the author to propose a novel AI algorithm, which has been named “hybrid AI optimization technique,” to perform optimization of RNP as a hard learning problem.
The proposed algorithm is composed of two different optimization algorithms: Redundant Antenna Elimination (RAE) and Ring Probabilistic Logic Neural Networks (RPLNN).
The proposed hybrid paradigm has been explored using a flexible manufacturing system (FMS), and results have been compared with Genetic Algorithm (GA) that demonstrates the feasibility of the proposed architecture successfully.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Azizi, Aydin. 2017. Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing. Complexity،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1143580
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Azizi, Aydin. Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing. Complexity No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1143580
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Azizi, Aydin. Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing. Complexity. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1143580
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1143580
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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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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