استخدام خوارزمية البرمجة التطورية لتصميم نموذج عصبوني صلد لفئة من نظم التحكم

Authors

  • بلال شيحا
  • سحر العلي

Abstract

يهدف هذا البحث للحصول على نموذج عصبوني لفئة من النظم الخطية واللاخطية وذلك باستخدام خوارزمية البرمجة التطورية Evolutionary programming (EP) لاختيار التركيب البنيوي الأمثل للشبكة العصبونية. استخدمنا برنامج ماتلاب Matlab لتصميم الشبكات العصبونية باستخدام EP, لما يملك من مرونة وسهولة في تمثيل المصفوفات (الأنساق الخلوية Cell Arrays والأنساق متعددة الأبعادMulti Dimension Arrays ). و قد أثبتت النتائج العملية كفاءة الخوارزمية المستخدمة في الوصول إلى شبكة عصبونية مثلى.

تم اختبار أداء وصلادة النموذج الناتج وذلك بحذف إحدى عصبونات الطبقة المخفية للشبكة التي نتجت عن تطبيق EP ودراسة تأثير هذا الحذف على خرج النموذج الناتج, وقد أكدت الدراسة على فعالية الخوارزمية وذلك بالنسبة لفئة النظم المستخدمة.

This study aims to design a neural model for a linear or nonlinear systems by using an Evolutionary Programming algorithm (EP) to choose the optimal structural construction for the network. We have used Matlab to design Neural Networks using (EP), because of its flexibility and ability to represent matrices (Cell Arrays, Multi Dimension Arrays). The experimental results confirm the efficiency with which this algorithm (EP) obtains the optimal network. We have tested the algorithm performance and the resulting model robustness by canceling one of the hidden layer nodes of the best net resulting from applying (EP). The effectiveness of that canceling on the resulting model output is also tested, and this study has shown the efficiency of the algorithm (EP) for the class of systems used.

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Published

2014-04-15

How to Cite

1.
شيحا ب, العلي س. استخدام خوارزمية البرمجة التطورية لتصميم نموذج عصبوني صلد لفئة من نظم التحكم. Tuj-eng [Internet]. 2014Apr.15 [cited 2025Jan.29];36(2). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/845

Issue

Vol. 36 No. 2 (2014): العلوم الهندسية

Section

Articles

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