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A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training
المؤلفون المشاركون
Hacibeyoglu, Mehmet
Ibrahim, Mohammed H.
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-04
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Multilayer feed-forward artificial neural networks are one of the most frequently used data mining methods for classification, recognition, and prediction problems.
The classification accuracy of a multilayer feed-forward artificial neural networks is proportional to training.
A well-trained multilayer feed-forward artificial neural networks can predict the class value of an unseen sample correctly if provided with the optimum weights.
Determining the optimum weights is a nonlinear continuous optimization problem that can be solved with metaheuristic algorithms.
In this paper, we propose a novel multimean particle swarm optimization algorithm for multilayer feed-forward artificial neural networks training.
The proposed multimean particle swarm optimization algorithm searches the solution space more efficiently with multiple swarms and finds better solutions than particle swarm optimization.
To evaluate the performance of the proposed multimean particle swarm optimization algorithm, experiments are conducted on ten benchmark datasets from the UCI repository and the obtained results are compared to the results of particle swarm optimization and other previous research in the literature.
The analysis of the results demonstrated that the proposed multimean particle swarm optimization algorithm performed well and it can be adopted as a novel algorithm for multilayer feed-forward artificial neural networks training.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hacibeyoglu, Mehmet& Ibrahim, Mohammed H.. 2018. A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training. Scientific Programming،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214637
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hacibeyoglu, Mehmet& Ibrahim, Mohammed H.. A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training. Scientific Programming No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1214637
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hacibeyoglu, Mehmet& Ibrahim, Mohammed H.. A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214637
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214637
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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