استخدام الشبكات العصبية الاصطناعية في دراسة استقرار المكاسر الركامية

Authors

  • آمال حيدر
  • مي درغام

Abstract

تعد دراسة استقرار المنشآت البحرية من المواضيع الهامة جداً وذلك لأنها تتضمن الأخذ بعين الاعتبار الكثير من البارامترات من أجل الوصول إلى التصميم الهندسي الآمن والاقتصادي لمثل هذه المنشآت. تتضمن الدراسة الحالية تقنية شبكة عصبية اصطناعية لتوقع عدد الاستقرار للمكاسر الركامية, حيث تم بناء شبكة عصبية اعتماداً على البارامترات المؤثرة على استقرار المكسر, ومن ثم استخدمت خوارزمية الانتشار العكسي للخطأ في تدريب الشبكة. تبين نتيجة الدراسة أن هناك ارتباطاً كبيراً بين القيم المحسوبة من الشبكة والقيم المأمولة(المحسوبة من علاقة van der meer) حيث بلغ معامل الارتباط 0.88. The stability analysis of coastal structure is very important because it involves many design parameter s to be considered for the save and economical design of structure. In the present study neural network technique is adopted to predict the stability number of rubble mound breakwater. One model is constructed based on the parameters which influence on the stability of rubble mound breakwater, the back propagation algorithm is used in training network . Agood correlation is obtained between network predicted stabilityand estimated ones. Correlation coefficient=0.88

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Published

2016-11-22

How to Cite

1.
حيدر آ, درغام م. استخدام الشبكات العصبية الاصطناعية في دراسة استقرار المكاسر الركامية. Tuj-eng [Internet]. 2016Nov.22 [cited 2025Jan.24];37(4). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/2206

Issue

Vol. 37 No. 4 (2015): العلوم الهندسية

Section

Articles

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Copyright (c) 2016 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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