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 |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink, HumanIndex |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
5
| المستخلص: |
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. |
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