Please use this identifier to cite or link to this item:
http://dspace.uniten.edu.my/jspui/handle/123456789/10042| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | AmirHossein Mahlouji | en_US |
| dc.date.accessioned | 2018-03-16T02:35:25Z | - |
| dc.date.available | 2018-03-16T02:35:25Z | - |
| dc.date.issued | 2013-11 | - |
| dc.identifier.uri | http://dspace.uniten.edu.my/jspui/handle/123456789/10042 | - |
| dc.description | THS TA404.8.A44 2013 | en_US |
| dc.language.iso | en | en_US |
| dc.title | A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models | en_US |
| dc.type | Thesis | en_US |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| Appears in Collections: | COGS Thesis and Dissertations | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A COMPARATIVE APPROACH TO THE PREDICTION OF OPEN-END YARN BREAKING STRENGTH BY REGRESSION AND ARTIFICIAL NEURAL NETWORK MODELS- AMIRHOSSEIN MAHLOUJI.pdf | 232.41 kB | Adobe PDF | View/Open |
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