Computer network routing using fuzzy neural networks

Other Title(s)

إيجاد مسار شبكة حاسبات باستخدام الشبكات العصبية المضببة

Joint Authors

Abd Allah, Abd al-Karim Yunus
Abd Allah, Turki Yunus
Nasar, Khulud Ahmad

Source

Basrah Journal of Science

Issue

Vol. 31, Issue 2A (30 Jun. 2013), pp.20-35, 16 p.

Publisher

University of Basrah College of Science

Publication Date

2013-06-30

Country of Publication

Iraq

No. of Pages

16

Main Subjects

Mathematics

Topics

Abstract AR

الشبكات العصبية المضببة ممكن إن تستخدم بكفاءة كتقنية حل لمسألة إيجاد مسار في شبكات الحاسبات و ذلك لغرض تحسين الإنجازية.

في هذا البحث، اقترحت طريقتين لحل هذه المسألة.

تم استخدام الشبكات العصبية المضببة لصنع قرار إيجاد مسار، و معالجة مشكلة الاكتظاظ مع حل مسالة إيجاد مسار.

الطرق المقترحة طبقت لأمثلة نموذجية لشبكات الحاسبات.

الشبكات العصبية المضببة تم تدريبها، و نتائج الفحص أكدت على إنجازيتها العالية.

Abstract EN

Fuzzy neural networks can be used efficiently as a solution technique for routing problem in computer networks, to improve the performance.

In this paper, two methods are proposed to solve this problem.

The fuzzy neural networks are used to make routing decision, and to manage the congestion with solving of the routing problem.

The proposed methods are applied for typical examples of computer networks.

The fuzzy neural networks are trained.

Results of the testing assert their high achievement.

American Psychological Association (APA)

Nasar, Khulud Ahmad& Abd Allah, Turki Yunus& Abd Allah, Abd al-Karim Yunus. 2013. Computer network routing using fuzzy neural networks. Basrah Journal of Science،Vol. 31, no. 2A, pp.20-35.
https://search.emarefa.net/detail/BIM-335391

Modern Language Association (MLA)

Nasar, Khulud Ahmad…[et al.]. Computer network routing using fuzzy neural networks. Basrah Journal of Science Vol. 31, no. 2-A (2013), pp.20-35.
https://search.emarefa.net/detail/BIM-335391

American Medical Association (AMA)

Nasar, Khulud Ahmad& Abd Allah, Turki Yunus& Abd Allah, Abd al-Karim Yunus. Computer network routing using fuzzy neural networks. Basrah Journal of Science. 2013. Vol. 31, no. 2A, pp.20-35.
https://search.emarefa.net/detail/BIM-335391

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 33-34

Record ID

BIM-335391