Pattern classification of overlapping data using probabilistic neural network

159 p.

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Bibliographic Details
Main Author:	Roy Irawan
Other Authors:	Mao Kezhi
Format:	Theses and Dissertations
Published:	2011
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	http://hdl.handle.net/10356/46786
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-467862023-07-04T15:32:41Z Pattern classification of overlapping data using probabilistic neural network Roy Irawan Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 159 p. As one of the Artificial Intelligence methods, Artificial Neural Networks (ANN) emerges as significant discipline which is potentially and rapidly developed in many fields. The design of ANN is inspired by biological neural network principles which allow this technique to tackle problems that our brain is good at solving, such as pattern recognition / classification. Even more, in pattern classification problems, our brain can recognize overlapping patterns in a very good manner. This is the main topic of this dissertation, where we could adopt this ability into ANN classifier socalled Probabilistic Neural Network (PNN). Master of Science (Computer Control and Automation) 2011-12-23T09:53:30Z 2011-12-23T09:53:30Z 2009 2009 Thesis http://hdl.handle.net/10356/46786 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
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Roy Irawan Pattern classification of overlapping data using probabilistic neural network
description	159 p.
author2	Mao Kezhi
author_facet	Mao Kezhi Roy Irawan
format	Theses and Dissertations
author	Roy Irawan
author_sort	Roy Irawan
title	Pattern classification of overlapping data using probabilistic neural network
title_short	Pattern classification of overlapping data using probabilistic neural network
title_full	Pattern classification of overlapping data using probabilistic neural network
title_fullStr	Pattern classification of overlapping data using probabilistic neural network
title_full_unstemmed	Pattern classification of overlapping data using probabilistic neural network
title_sort	pattern classification of overlapping data using probabilistic neural network
publishDate	2011
url	http://hdl.handle.net/10356/46786
_version_	1772828321976942592

Pattern classification of overlapping data using probabilistic neural network

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