A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models
THS TA404.8.A44 2013
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2023
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my.uniten.dspace-194072023-05-04T14:05:51Z A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models AmirHossein Mahlouji THS TA404.8.A44 2013 2023-05-03T13:31:46Z 2023-05-03T13:31:46Z 2013-11 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/19407 en application/pdf |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| language |
English |
| description |
THS TA404.8.A44 2013 |
| format |
Resource Types::text::Thesis |
| author |
AmirHossein Mahlouji |
| spellingShingle |
AmirHossein Mahlouji A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| author_facet |
AmirHossein Mahlouji |
| author_sort |
AmirHossein Mahlouji |
| title |
A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| title_short |
A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| title_full |
A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| title_fullStr |
A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| title_full_unstemmed |
A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| title_sort |
comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models |
| publishDate |
2023 |
| _version_ |
1806424142155612160 |
| score |
13.214268 |