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:
Online Access: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
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author Teh, Chee Siong
author_facet Teh, Chee Siong
author_sort Teh, Chee Siong
building USM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T15:24:43Z
format Thesis
id usm-8362
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:24:43Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling usm-83622017-04-17T06:53:12Z http://eprints.usm.my/8362/ A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb]. 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 NonPeerReviewed application/pdf en http://eprints.usm.my/8362/1/A_HYBRID_ARTIFICIAL_NEURAL_NETWORK_MODEL_FOR_DATA_VISUALISATION%2C_CLASSIFICATION%2C_AND_CLUSTERING.pdf Teh, Chee Siong (2006) A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb]. PhD thesis, Universiti Sains Malaysia.
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].
title 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_short 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].
topic QP351-495 Neurophysiology and neuropsychology
url 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