Neural networks for pattern recognition and adaptive control

This report presents a detail investigation on the pattern recognition ability of artificial neural networks and ways to use the inherent parallelism in the neural network to reduce the training time. In particular it presents a detailed study of parallel implementation aspects of Multilayer Feedfor...

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Bibliographic Details
Main Author:	Saratchandran, P.
Other Authors:	School of Electrical and Electronic Engineering
Format:	Research Report
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/3033
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3033
record_format	dspace
spelling	sg-ntu-dr.10356-30332023-03-04T03:22:49Z Neural networks for pattern recognition and adaptive control Saratchandran, P. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This report presents a detail investigation on the pattern recognition ability of artificial neural networks and ways to use the inherent parallelism in the neural network to reduce the training time. In particular it presents a detailed study of parallel implementation aspects of Multilayer Feedforward Neural Networks used for handwritten character recognition. In this report the emphasis is on Training set parallelism. RP 30/90 2008-09-17T09:19:16Z 2008-09-17T09:19:16Z 1999 1999 Research Report http://hdl.handle.net/10356/3033 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::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Saratchandran, P. Neural networks for pattern recognition and adaptive control
description	This report presents a detail investigation on the pattern recognition ability of artificial neural networks and ways to use the inherent parallelism in the neural network to reduce the training time. In particular it presents a detailed study of parallel implementation aspects of Multilayer Feedforward Neural Networks used for handwritten character recognition. In this report the emphasis is on Training set parallelism.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Saratchandran, P.
format	Research Report
author	Saratchandran, P.
author_sort	Saratchandran, P.
title	Neural networks for pattern recognition and adaptive control
title_short	Neural networks for pattern recognition and adaptive control
title_full	Neural networks for pattern recognition and adaptive control
title_fullStr	Neural networks for pattern recognition and adaptive control
title_full_unstemmed	Neural networks for pattern recognition and adaptive control
title_sort	neural networks for pattern recognition and adaptive control
publishDate	2008
url	http://hdl.handle.net/10356/3033
_version_	1759856138251141120

Neural networks for pattern recognition and adaptive control

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