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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Main Author: Md. Sarwar, Zahan Tapan
Format: Thesis
Language:English
Published: 2008
Subjects:
Online Access:http://ir.unimas.my/id/eprint/402/
http://ir.unimas.my/id/eprint/402/9/Md.%20Sarwar%20Zahan%20Tapan%20%28full%29.pdf
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author Md. Sarwar, Zahan Tapan
author_facet Md. Sarwar, Zahan Tapan
author_sort Md. Sarwar, Zahan Tapan
building UNIMAS Institutional Repository
collection Online Access
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.
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format Thesis
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institution Universiti Malaysia Sarawak
institution_category Local University
language English
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publishDate 2008
recordtype eprints
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spelling unimas-4022025-07-02T08:37:01Z http://ir.unimas.my/id/eprint/402/ A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis 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 NonPeerReviewed text en http://ir.unimas.my/id/eprint/402/9/Md.%20Sarwar%20Zahan%20Tapan%20%28full%29.pdf Md. Sarwar, Zahan Tapan (2008) A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
spellingShingle 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
title 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_short 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
topic QA76 Computer software
url http://ir.unimas.my/id/eprint/402/
http://ir.unimas.my/id/eprint/402/9/Md.%20Sarwar%20Zahan%20Tapan%20%28full%29.pdf