Development and application of back- propagation-based artificial neural network models in solving engineering
Other Title(s)
استخدام تقنية الشبكات العصبية لحل المشاكل الهندسية
Author
Source
Sultan Qaboos University Journal for Scientific Research-Science and Technology
Issue
Vol. 2002, Issue 7 (30 Jun. 2002), pp.55-71, 17 p.
Publisher
Sultan Qaboos University College of Science
Publication Date
2002-06-30
Country of Publication
Oman
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
الشبكات العصبية الاصطناعية هي أحد برامج الكمبيوتر التي تحاكي قدرات الإنسان في تمييز الأشياء أو اتخاذ قرارات مبنية على المعلومات المتوفرة أو التنبؤ بالأحداث.
و يعتبر هذا العلم جزء في علم الذكاء الاصطناعي الذي ظهر و انتشر بسرعة في العقد الماضي و غطت تطبيقاته العديد من مجالات الحياة الإنسانية هذه الورقة العلمية تهدف إلى نشر الوعي بخصوص هذا العلم و التقنية المستخدمة فيه و كيفية تطبيقه لحل المشاكل الهندسية و كذلك تبرز هذه الورقة طرق إرشاد و توجيه للمبتدئ الذي يرغب في استخدام هذه التقنية و تشير إلى المراجع التي يمكن استخدامها في هذا المجال و كذلك توضح قائمة بالتطبيقات الهندسية المختلفة التي قام بها الباحث في سلطنة عمان.
Abstract EN
Artificial Neural Networks (ANNs) are computer software programs that mimic the human brain's ability to classify patterns or to make forecasts or decisions based on past experience.
The development of this research area can be attributed to two factors, sufficient computer power to begin practical ANN-based research in the late 1970s and the development of back-propagation in 1986 that enabled ANN models to solve everyday business, scientific, and industrial problems.
Since then, significant applications have been implemented in several fields of study, and many useful intelligent applications and systems have been developed.
The objective of this paper is to generate awareness and to encourage applications development using artificial intelligence-based systems.
Therefore, this paper provides basic ANN concepts, outlines steps used for ANN model development, and lists examples of engineering applications based on the use of the back-propagation paradigm conducted in Oman.
The paper is intended to provide guidelines and necessary references and resources for novice individuals interested in conducting research in engineering or other fields of study using back-propagation artificial neural networks.
American Psychological Association (APA)
al-Allawi, Salih. 2002. Development and application of back- propagation-based artificial neural network models in solving engineering. Sultan Qaboos University Journal for Scientific Research-Science and Technology،Vol. 2002, no. 7, pp.55-71.
https://search.emarefa.net/detail/BIM-23961
Modern Language Association (MLA)
al-Allawi, Salih. Development and application of back- propagation-based artificial neural network models in solving engineering. Sultan Qaboos University Journal for Scientific Research-Science and Technology No. 7 (2002), pp.55-71.
https://search.emarefa.net/detail/BIM-23961
American Medical Association (AMA)
al-Allawi, Salih. Development and application of back- propagation-based artificial neural network models in solving engineering. Sultan Qaboos University Journal for Scientific Research-Science and Technology. 2002. Vol. 2002, no. 7, pp.55-71.
https://search.emarefa.net/detail/BIM-23961
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 66-71
Record ID
BIM-23961