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Exploratory study of Kohonen Network for human health state classification

Mohd Rahman, Hamijah and Arbaiy, Nureize and Che Lah, Muhammad Shukeri and Hassan, Norlida (2018) Exploratory study of Kohonen Network for human health state classification. International Journal on Informatics Visualization, 2 (3-2). pp. 209-214. ISSN 25499904

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Abstract

Kohonen Network is an unsupervised learning which forms clusters from patterns that share common features and group similar patterns together. This network are commonly uses grids of artificial neurons which connected to all the inputs. This paper presents an exploratory study of Kohonen Neural Network to classify human health state. Neural Connection tool is used to generate the result based on Kohonen learning algorithm. Procedural steps are provided to assist the implementation of the Kohonen Network. The result shows that side 2 is more appropriate for this problem with efficient learning rate 1.0. It gives good distribution for training and test patterns. Study to the variation of dataset’s size will be considered in the near future to evaluate the performance of the network.

Item Type: Article
Uncontrolled Keywords: Clustering; Kohonen Neural Network; body fat; health state
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Jul 2019 00:58
Last Modified: 31 Jul 2019 00:58
URI: http://eprints.uthm.edu.my/id/eprint/11359
Statistic Details: View Download Statistic

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