A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis

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).

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Abstract

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.

Item Type: Thesis (Masters)
Additional Information: Thesis (M.Sc.) -- Universiti Malaysia Sarawak, 2008.
Uncontrolled Keywords: Neural networks, computer science, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, tourist management, Samarahan, ipta, education, Postgraduate, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Karen Kornalius
Date Deposited: 06 Dec 2013 03:31
Last Modified: 04 Mar 2020 02:02
URI: http://ir.unimas.my/id/eprint/402

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