Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor
The purpose of this project is to develope an organizing discipline by which neural network system can be designed for specific computations. Furthermore, it is also to recognize and make use of both the similarities and differences between well-established procedures and the newly proposed neural n...
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| Main Authors: | , |
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| Format: | Thesis |
| Language: | en |
| Published: |
1992
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/100749/1/100749.pdf https://ir.uitm.edu.my/id/eprint/100749/ |
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| _version_ | 1833321832045871104 |
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| author | Mohd. Sharif, Kamaruzzaman Mohd. Nor, Khairul Nazmi |
| author_facet | Mohd. Sharif, Kamaruzzaman Mohd. Nor, Khairul Nazmi |
| author_sort | Mohd. Sharif, Kamaruzzaman |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The purpose of this project is to develope an organizing discipline by which neural network system can be designed for specific computations. Furthermore, it is also to recognize and make use of both the similarities and differences between well-established procedures and the newly proposed neural network approaches. |
| format | Thesis |
| id | my.uitm.ir-100749 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 1992 |
| record_format | eprints |
| spelling | my.uitm.ir-1007492024-09-12T03:10:25Z https://ir.uitm.edu.my/id/eprint/100749/ Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor Mohd. Sharif, Kamaruzzaman Mohd. Nor, Khairul Nazmi Pattern recognition systems The purpose of this project is to develope an organizing discipline by which neural network system can be designed for specific computations. Furthermore, it is also to recognize and make use of both the similarities and differences between well-established procedures and the newly proposed neural network approaches. 1992 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/100749/1/100749.pdf Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor. (1992) Advanced Diploma thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/100749.pdf> |
| spellingShingle | Pattern recognition systems Mohd. Sharif, Kamaruzzaman Mohd. Nor, Khairul Nazmi Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor |
| title | Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor |
| title_full | Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor |
| title_fullStr | Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor |
| title_full_unstemmed | Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor |
| title_short | Self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / Kamaruzzaman Mohd. Sharif and Khairul Nazmi Mohd. Nor |
| title_sort | self organizing nets for pattern recognition (unsupervised learning based on discovery of cluster structure) / kamaruzzaman mohd. sharif and khairul nazmi mohd. nor |
| topic | Pattern recognition systems |
| url | https://ir.uitm.edu.my/id/eprint/100749/1/100749.pdf https://ir.uitm.edu.my/id/eprint/100749/ |
| url_provider | http://ir.uitm.edu.my/ |