Neural networks for ATM traffic control

This thesis presents the application of the newly developed minimal radial basis function neural network called Minimal Resource Allocation Network (MRAN) to solve the traffic control problems in Asynchronous Transfer Mode (ATM) networks. Special focus has been given to the congestion control scheme...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ng, Hock Soon.
مؤلفون آخرون:	Sundararajan, Narasimhan
التنسيق:	Theses and Dissertations
منشور في:	2008
الموضوعات:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
الوصول للمادة أونلاين:	http://hdl.handle.net/10356/4949
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	Nanyang Technological University

id	sg-ntu-dr.10356-4949
record_format	dspace
spelling	sg-ntu-dr.10356-49492023-07-04T15:52:15Z Neural networks for ATM traffic control Ng, Hock Soon. Sundararajan, Narasimhan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This thesis presents the application of the newly developed minimal radial basis function neural network called Minimal Resource Allocation Network (MRAN) to solve the traffic control problems in Asynchronous Transfer Mode (ATM) networks. Special focus has been given to the congestion control scheme and the and the Available Bit Rate (ABR) flow control scheme. Master of Engineering 2008-09-17T10:02:02Z 2008-09-17T10:02:02Z 2001 2001 Thesis http://hdl.handle.net/10356/4949 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Ng, Hock Soon. Neural networks for ATM traffic control
description	This thesis presents the application of the newly developed minimal radial basis function neural network called Minimal Resource Allocation Network (MRAN) to solve the traffic control problems in Asynchronous Transfer Mode (ATM) networks. Special focus has been given to the congestion control scheme and the and the Available Bit Rate (ABR) flow control scheme.
author2	Sundararajan, Narasimhan
author_facet	Sundararajan, Narasimhan Ng, Hock Soon.
format	Theses and Dissertations
author	Ng, Hock Soon.
author_sort	Ng, Hock Soon.
title	Neural networks for ATM traffic control
title_short	Neural networks for ATM traffic control
title_full	Neural networks for ATM traffic control
title_fullStr	Neural networks for ATM traffic control
title_full_unstemmed	Neural networks for ATM traffic control
title_sort	neural networks for atm traffic control
publishDate	2008
url	http://hdl.handle.net/10356/4949
_version_	1772828753904271360

Neural networks for ATM traffic control

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