A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].

Tesis ini mempersembahkan penyelidikan tentang satu model hibrid rangkaian neural buatan yang boleh menghasilkan satu peta pengekalan-topologi, serupa dengan penerangan teori bagi peta otak, untuk visualisasi, klasifikasi dan pengklusteran data. In this thesis, the research of a hybrid Artificial...

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Main Author:	Teh, Chee Siong
Format:	Thesis
Language:	English
Published:	2006
Subjects:	QP351-495 Neurophysiology and neuropsychology
Online Access:	http://eprints.usm.my/8362/1/A_HYBRID_ARTIFICIAL_NEURAL_NETWORK_MODEL_FOR_DATA_VISUALISATION%2C_CLASSIFICATION%2C_AND_CLUSTERING.pdf
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id	my-usm-ep.8362
record_format	uketd_dc
spelling	my-usm-ep.83622017-04-17T06:53:12Z A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb]. 2006-01 Teh, Chee Siong QP351-495 Neurophysiology and neuropsychology Tesis ini mempersembahkan penyelidikan tentang satu model hibrid rangkaian neural buatan yang boleh menghasilkan satu peta pengekalan-topologi, serupa dengan penerangan teori bagi peta otak, untuk visualisasi, klasifikasi dan pengklusteran data. In this thesis, the research of a hybrid Artificial Neural Network (ANN) model that is able to produce a topology-preserving map, which is akin to the theoretical explanation of the brain map, for data visualisation, classification, and clustering is presented. 2006-01 Thesis http://eprints.usm.my/8362/ http://eprints.usm.my/8362/1/A_HYBRID_ARTIFICIAL_NEURAL_NETWORK_MODEL_FOR_DATA_VISUALISATION%2C_CLASSIFICATION%2C_AND_CLUSTERING.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Teknologi Industri
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QP351-495 Neurophysiology and neuropsychology
spellingShingle	QP351-495 Neurophysiology and neuropsychology Teh, Chee Siong A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
description	Tesis ini mempersembahkan penyelidikan tentang satu model hibrid rangkaian neural buatan yang boleh menghasilkan satu peta pengekalan-topologi, serupa dengan penerangan teori bagi peta otak, untuk visualisasi, klasifikasi dan pengklusteran data. In this thesis, the research of a hybrid Artificial Neural Network (ANN) model that is able to produce a topology-preserving map, which is akin to the theoretical explanation of the brain map, for data visualisation, classification, and clustering is presented.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Teh, Chee Siong
author_facet	Teh, Chee Siong
author_sort	Teh, Chee Siong
title	A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
title_short	A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
title_full	A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
title_fullStr	A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
title_full_unstemmed	A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
title_sort	hybrid artificial neural network model for data visualisation, classification, and clustering [qp363.3. t253 2006 f rb].
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Teknologi Industri
publishDate	2006
url	http://eprints.usm.my/8362/1/A_HYBRID_ARTIFICIAL_NEURAL_NETWORK_MODEL_FOR_DATA_VISUALISATION%2C_CLASSIFICATION%2C_AND_CLUSTERING.pdf
_version_	1747819709123788800

A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].

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