首页|期刊导航|自动化学报（英文版）|A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers
自动化学报（英文版）2021，Vol.8Issue(1)：64-76,13.DOI:10.1109/JAS.2020.1003387
A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers
A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers
摘要
关键词
Anomaly detection/autoencoder (AE)/electrospinning/machine learning/material informatics/nanomaterialsKey words
Anomaly detection/autoencoder (AE)/electrospinning/machine learning/material informatics/nanomaterials引用本文复制引用
Cosimo Ieracitano,Annunziata Paviglianiti,Maurizio Campolo,Amir Hussain,Eros Pasero,Francesco Carlo Morabito..A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers[J].自动化学报（英文版）,2021,8(1):64-76,13.基金项目
This work was supported by the European Commission, the European Social Fund and the Calabria Region (C39B18000080002). The authors are the only responsible for this publication and the European Commission and the Region of Calabria decline any responsibility for the use that may be made of the information in it held. This work was also supported by the UK Engineering and Physical Sciences Research Council (EPSRC) (EP/M026981/1, EP/T021063/1, EP/T024917/1). （C39B18000080002）
