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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| Format: | Thesis |
| Language: | en |
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2006
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| Online Access: | http://eprints.usm.my/8362/1/A_HYBRID_ARTIFICIAL_NEURAL_NETWORK_MODEL_FOR_DATA_VISUALISATION%2C_CLASSIFICATION%2C_AND_CLUSTERING.pdf http://eprints.usm.my/8362/ |
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| _version_ | 1834436757461925888 |
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| author | Teh, Chee Siong |
| author_facet | Teh, Chee Siong |
| author_sort | Teh, Chee Siong |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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.
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| format | Thesis |
| id | my.usm.eprints.8362 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2006 |
| record_format | eprints |
| spelling | my.usm.eprints.8362 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].
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| title_full | A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
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| title_fullStr | A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
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| title_full_unstemmed | A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
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| title_short | A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
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| 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/8362/1/A_HYBRID_ARTIFICIAL_NEURAL_NETWORK_MODEL_FOR_DATA_VISUALISATION%2C_CLASSIFICATION%2C_AND_CLUSTERING.pdf http://eprints.usm.my/8362/ |
| url_provider | http://eprints.usm.my/ |