Review-artificial intelligence based modelling of hydrological processes
المؤلفون المشاركون
al-Agha, Jawad S.
Said, Muhammad Azlin Muhammad
Mughir, Yunus
المصدر
الناشر
الجامعة الإسلامية كلية الهندسة
تاريخ النشر
2012-10-31
دولة النشر
فلسطين (قطاع غزة)
عدد الصفحات
13
التخصصات الرئيسية
العلوم الهندسية والتكنولوجية (متداخلة التخصصات)
الملخص الإنجليزي
Hydrological processes such as runoff and contaminant transport are usually affected by various complex interrelated variables.
Moreover, uncertainties in variables estimate are the common stamp of these processes.
Due to this complex nature, Physical modeling of any hydrological system requires availability of large, accurate and detailed data related to all influencing variables, which are not always available due to financial and technical constraints.
This may lead to deficiencies in model’s performance which in turn, negatively affect hydrological planning and policy drawing.
To address these shortcomings, artificial intelligence (AI) based techniques have been recently used as alternative tools to traditional physical hydrological models.
These techniques have been proved to be successful and effective in tackling wide spectrum of challenging hydrological processes.
This article is intended to serve as an introductory review of application of two AI techniques namely, artificial neural networks (ANNs) and support vector machine (SVM) in various hydrological applications.
In this article, ANNs and SVM theoretical background coupled with their strength points that make them suitable for hydrological modeling were briefly described.
Moreover, various examples of successful applications of ANNs and SVM for modeling different hydrological processes were also provided.
نوع البيانات
أوراق مؤتمرات
رقم السجل
BIM-777337
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Agha, Jawad S.& Said, Muhammad Azlin Muhammad& Mughir, Yunus. 2012-10-31. Review-artificial intelligence based modelling of hydrological processes. . , pp.1-13.Gaza Palestine : Islamic University of Gaza Faculty of Engineering.
https://search.emarefa.net/detail/BIM-777337
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mughir, Yunus…[et al.]. Review-artificial intelligence based modelling of hydrological processes. . Gaza Palestine : Islamic University of Gaza Faculty of Engineering. 2012-10-31.
https://search.emarefa.net/detail/BIM-777337
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Agha, Jawad S.& Said, Muhammad Azlin Muhammad& Mughir, Yunus. Review-artificial intelligence based modelling of hydrological processes. .
https://search.emarefa.net/detail/BIM-777337
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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