Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications

This thesis presents the theoretical and experimental analysis of computational complexity and performance evaluation of minimal resources allocation network (MRAN) from a real-time implementation perspective. MRAN is a sequential learning network and has the same structure as a radial basis functio...

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Main Author:	Tan, Kok Leong.
Other Authors:	Saratchandran, Paramasivan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/3375
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3375
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spelling	sg-ntu-dr.10356-33752023-07-04T15:10:36Z Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications Tan, Kok Leong. Saratchandran, Paramasivan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This thesis presents the theoretical and experimental analysis of computational complexity and performance evaluation of minimal resources allocation network (MRAN) from a real-time implementation perspective. MRAN is a sequential learning network and has the same structure as a radial basis function (RBF) network. Master of Engineering 2008-09-17T09:28:48Z 2008-09-17T09:28:48Z 2001 2001 Thesis http://hdl.handle.net/10356/3375 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 Tan, Kok Leong. Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications
description	This thesis presents the theoretical and experimental analysis of computational complexity and performance evaluation of minimal resources allocation network (MRAN) from a real-time implementation perspective. MRAN is a sequential learning network and has the same structure as a radial basis function (RBF) network.
author2	Saratchandran, Paramasivan
author_facet	Saratchandran, Paramasivan Tan, Kok Leong.
format	Theses and Dissertations
author	Tan, Kok Leong.
author_sort	Tan, Kok Leong.
title	Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications
title_short	Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications
title_full	Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications
title_fullStr	Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications
title_full_unstemmed	Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications
title_sort	analysis and implementation of minimal resource allocation networks (mran) for real-time applications
publishDate	2008
url	http://hdl.handle.net/10356/3375
_version_	1772828023458889728

Analysis and implementation of minimal resource allocation networks (MRAN) for real-time applications

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