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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Politeknik Negeri Padang
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5668/1/AJ%202018%20%28290%29.pdf |
| _version_ | 1825710059264409600 |
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| author | Mohd Rahman, Hamijah Arbaiy, Nureize Che Lah, Muhammad Shukeri Hassan, Norlida Hassan |
| author_facet | Mohd Rahman, Hamijah Arbaiy, Nureize Che Lah, Muhammad Shukeri Hassan, Norlida Hassan |
| author_sort | Mohd Rahman, Hamijah |
| collection | UTHM |
| 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. |
| first_indexed | 2024-03-05T21:51:52Z |
| format | Article |
| id | uthm.eprints-5668 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:51:52Z |
| publishDate | 2018 |
| publisher | Politeknik Negeri Padang |
| record_format | dspace |
| spelling | uthm.eprints-56682022-01-20T02:46:29Z http://eprints.uthm.edu.my/5668/ Exploratory study of Kohonen network for human health state classification Mohd Rahman, Hamijah Arbaiy, Nureize Che Lah, Muhammad Shukeri Hassan, Norlida Hassan R855-855.5 Medical technology 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. Politeknik Negeri Padang 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5668/1/AJ%202018%20%28290%29.pdf Mohd Rahman, Hamijah and Arbaiy, Nureize and Che Lah, Muhammad Shukeri and Hassan, Norlida Hassan (2018) Exploratory study of Kohonen network for human health state classification. International Journal on Informatics Visualization, 2 (3). pp. 209-214. ISSN 2549-9610 |
| spellingShingle | R855-855.5 Medical technology Mohd Rahman, Hamijah Arbaiy, Nureize Che Lah, Muhammad Shukeri Hassan, Norlida Hassan Exploratory study of Kohonen network for human health state classification |
| 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 | R855-855.5 Medical technology |
| url | http://eprints.uthm.edu.my/5668/1/AJ%202018%20%28290%29.pdf |
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