A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis
The objective of this research was set to propose a supervised ANN method able to perform data classification and data structure, inter-neuron distances and data topology preserved visualization simultaneously. A real world application of mental disorder diagnosis in counseling domain was then inves...
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2008
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Online Access: | http://ir.unimas.my/id/eprint/402/8/Md.%20Sarwar%20Zahan%20Tapan%20%28full%29.pdf |
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my-unimas-ir.4022023-03-30T04:03:20Z A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis 2008 Md. Sarwar, Zahan Tapan QA76 Computer software The objective of this research was set to propose a supervised ANN method able to perform data classification and data structure, inter-neuron distances and data topology preserved visualization simultaneously. A real world application of mental disorder diagnosis in counseling domain was then investigated and LVQ with AC was employed to facilitate classification and visualization in designing and development of an intelligent decision support system to assist counselors in diagnosis of mental disorders. 2008 Thesis http://ir.unimas.my/id/eprint/402/ http://ir.unimas.my/id/eprint/402/8/Md.%20Sarwar%20Zahan%20Tapan%20%28full%29.pdf text en validuser masters Universiti Malaysia Sarawak (UNIMAS) Faculty of Cognitive Sciences and Human Development. |
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Universiti Malaysia Sarawak |
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UNIMAS Institutional Repository |
language |
English |
topic |
QA76 Computer software |
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QA76 Computer software Md. Sarwar, Zahan Tapan A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis |
description |
The objective of this research was set to propose a supervised ANN method able to perform data classification and data structure, inter-neuron distances and data topology preserved visualization simultaneously. A real world application of mental disorder diagnosis in counseling domain was then investigated and LVQ with AC was employed to facilitate classification and visualization in designing and development of an intelligent decision support system to assist counselors in diagnosis of mental disorders. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Md. Sarwar, Zahan Tapan |
author_facet |
Md. Sarwar, Zahan Tapan |
author_sort |
Md. Sarwar, Zahan Tapan |
title |
A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis |
title_short |
A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis |
title_full |
A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis |
title_fullStr |
A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis |
title_full_unstemmed |
A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis |
title_sort |
novel hybrid supervised artificial neural network (ann) for data visualization and classification to the application of mental disorder diagnosis |
granting_institution |
Universiti Malaysia Sarawak (UNIMAS) |
granting_department |
Faculty of Cognitive Sciences and Human Development. |
publishDate |
2008 |
url |
http://ir.unimas.my/id/eprint/402/8/Md.%20Sarwar%20Zahan%20Tapan%20%28full%29.pdf |
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1783727877345247232 |