Predicting physical properties of woven fabrics via automated machine learning and textile design and finishing features
This paper presents a novel Machine Learning (ML) approach to support the creation of woven fabrics. Using data from a textile company, two CRoss-Industry Standard Process for Data Mining (CRISP-DM) iterations were executed, aiming to compare three input feature representation strategies related wit...
Autor principal: | |
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Outros Autores: | , , , , , |
Formato: | conferencePaper |
Idioma: | eng |
Publicado em: |
2020
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Assuntos: | |
Texto completo: | http://hdl.handle.net/1822/66814 |
País: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/66814 |