Exploratory Study of Kohonen Network for Human Health State Classification

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 Netw...

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Main Authors: Hamijah Mohd Rahman, Nureize Arbaiy, Muhammad Shukeri Che Lah, Norlida Hassan
Format: Article
Language:English
Published: Politeknik Negeri Padang 2018-06-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
Online Access:http://joiv.org/index.php/joiv/article/view/143
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author Hamijah Mohd Rahman
Nureize Arbaiy
Muhammad Shukeri Che Lah
Norlida Hassan
author_facet Hamijah Mohd Rahman
Nureize Arbaiy
Muhammad Shukeri Che Lah
Norlida Hassan
author_sort Hamijah Mohd Rahman
collection DOAJ
description 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.
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spelling doaj.art-a35214ef94854b79ba6d273b916f16ff2022-12-22T01:34:38ZengPoliteknik Negeri PadangJOIV: International Journal on Informatics Visualization2549-96102549-99042018-06-0123-220921410.30630/joiv.2.3-2.14397Exploratory Study of Kohonen Network for Human Health State ClassificationHamijah Mohd Rahman0Nureize Arbaiy1Muhammad Shukeri Che Lah2Norlida Hassan3Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaKohonen 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.http://joiv.org/index.php/joiv/article/view/143clusteringkohonen neural networkbody fathealth state
spellingShingle Hamijah Mohd Rahman
Nureize Arbaiy
Muhammad Shukeri Che Lah
Norlida Hassan
Exploratory Study of Kohonen Network for Human Health State Classification
JOIV: International Journal on Informatics Visualization
clustering
kohonen neural network
body fat
health state
title Exploratory Study of Kohonen Network for Human Health State Classification
title_full Exploratory Study of Kohonen Network for Human Health State Classification
title_fullStr Exploratory Study of Kohonen Network for Human Health State Classification
title_full_unstemmed Exploratory Study of Kohonen Network for Human Health State Classification
title_short Exploratory Study of Kohonen Network for Human Health State Classification
title_sort exploratory study of kohonen network for human health state classification
topic clustering
kohonen neural network
body fat
health state
url http://joiv.org/index.php/joiv/article/view/143
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AT muhammadshukerichelah exploratorystudyofkohonennetworkforhumanhealthstateclassification
AT norlidahassan exploratorystudyofkohonennetworkforhumanhealthstateclassification