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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ribeiro, Rui, Pilastri, André, Moura, Carla, Rodrigues, Filipe, Rocha, Rita, Morgado, José, Cortez, Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256560/
http://dx.doi.org/10.1007/978-3-030-49186-4_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256560/
http://dx.doi.org/10.1007/978-3-030-49186-4_21

Ejemplares similares