Simulated Identification Model For Complex Non-linear System Using Feedforwad and Recurrent Neural Networks
| المصدر: | مجلة جامعة ناصر الأممية |
|---|---|
| الناشر: | جامعة ناصر الأممية |
| المؤلف الرئيسي: | Abogarir, Ahmed G. (Author) |
| مؤلفين آخرين: | Abosdeal, Adel A. (Co-Author) |
| المجلد/العدد: | ع4 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2009
|
| الصفحات: | 19 - 33 |
| رقم MD: | 823485 |
| نوع المحتوى: | بحوث ومقالات |
| قواعد المعلومات: | EcoLink, HumanIndex |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
5
| LEADER | 01602nam a22002417a 4500 | ||
|---|---|---|---|
| 001 | 1581409 | ||
| 044 | |b ليبيا | ||
| 100 | |9 441727 |a Abogarir, Ahmed G. |e Author | ||
| 245 | |a Simulated Identification Model For Complex Non-linear System Using Feedforwad and Recurrent Neural Networks | ||
| 260 | |b جامعة ناصر الأممية |c 2009 | ||
| 300 | |a 19 - 33 | ||
| 336 | |a بحوث ومقالات | ||
| 520 | |b Today, there is great interest in different fields in developing a better description model of real systems. In this paper two identification procedures for the nonlinear systems are applied. Linear models (BJ/OE) have been used to describe them around limited ranges of operation. However, due to the necessity of more accurate results, the demand for the estimation and use of nonlinear models has been increasing. For this reason the Artificial Neural Networks (ANN) have been applied in the identification of non-linear systems. | ||
| 653 | |a الشبكات العصبية | ||
| 653 | |a الذكاء الصناعي | ||
| 653 | |a الحاسبات الإلكترونية | ||
| 700 | |9 441728 |a Abosdeal, Adel A. |e Co-Author |g Abosdial, Adel A. | ||
| 773 | |4 العلوم الإنسانية ، متعددة التخصصات |4 العلوم الاجتماعية ، متعددة التخصصات |6 Humanities, Multidisciplinary |6 Social Sciences, Interdisciplinary |c 018 |e Nasser Nations‘ University Journal |l 004 |m ع4 |o 1755 |s مجلة جامعة ناصر الأممية |v 000 | ||
| 856 | |u 1755-000-004-018.pdf | ||
| 930 | |d y |p y | ||
| 995 | |a EcoLink | ||
| 995 | |a HumanIndex | ||
| 999 | |c 823485 |d 823485 | ||
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