Pruning methods for RBF networks

Our objective is to a) Perform an Analysis of the existent Minimum Resource Allocation Network algorithm, which uses the output for pruning (Normalized Output Based) b) Create a Modified Algorithm for pruning (Normalized Sigma Based) c) Perform an Analysis of the newly developed algorithm d) Ex...

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Main Author:	Tarannum Shakir.
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/10356/3419
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3419
record_format	dspace
spelling	sg-ntu-dr.10356-34192023-07-04T16:31:56Z Pruning methods for RBF networks Tarannum Shakir. Saratchandran, Paramasivan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Our objective is to a) Perform an Analysis of the existent Minimum Resource Allocation Network algorithm, which uses the output for pruning (Normalized Output Based) b) Create a Modified Algorithm for pruning (Normalized Sigma Based) c) Perform an Analysis of the newly developed algorithm d) Experimentally decide on a suitable pruning threshold value for the Modified algorithm e) Perform a Comparative Analysis of MRAN under the two pruning algorithms Master of Science (Computer Control and Automation) 2008-09-17T09:29:42Z 2008-09-17T09:29:42Z 2003 2003 Thesis http://hdl.handle.net/10356/3419 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 Tarannum Shakir. Pruning methods for RBF networks
description	Our objective is to a) Perform an Analysis of the existent Minimum Resource Allocation Network algorithm, which uses the output for pruning (Normalized Output Based) b) Create a Modified Algorithm for pruning (Normalized Sigma Based) c) Perform an Analysis of the newly developed algorithm d) Experimentally decide on a suitable pruning threshold value for the Modified algorithm e) Perform a Comparative Analysis of MRAN under the two pruning algorithms
author2	Saratchandran, Paramasivan
author_facet	Saratchandran, Paramasivan Tarannum Shakir.
format	Theses and Dissertations
author	Tarannum Shakir.
author_sort	Tarannum Shakir.
title	Pruning methods for RBF networks
title_short	Pruning methods for RBF networks
title_full	Pruning methods for RBF networks
title_fullStr	Pruning methods for RBF networks
title_full_unstemmed	Pruning methods for RBF networks
title_sort	pruning methods for rbf networks
publishDate	2008
url	http://hdl.handle.net/10356/3419
_version_	1772828948295581696

Pruning methods for RBF networks

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