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...

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Bibliographic Details
Main Author: Ribeiro, Rui (author)
Other Authors: Pilastri, André (author), Moura, Carla (author), Rodrigues, Filipe (author), Rocha, Rita (author), Morgado, José (author), Cortez, Paulo (author)
Format: conferencePaper
Language:eng
Published: 2020
Subjects:
Machine Learning
Regression
Textile fabrics
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Online Access:http://hdl.handle.net/1822/66814
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/66814

Internet

http://hdl.handle.net/1822/66814

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