Melt Pressure Prediction in Polymer Extrusion Processes with Deep Learning-Reference-Cited by-同舟云学术

Melt Pressure Prediction in Polymer Extrusion Processes with Deep Learning

Published:2023-06-13 Issue: Volume: Page:
ISSN:
Container-title:2023 European Control Conference (ECC)
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Author:

Perera Yasith S.¹,Li Jie²,Kelly Adrian L.³,Abeykoon Chamil¹

Affiliation:

1. Northwest Composites Centre and Aerospace Research Institute, The University of Manchester,Faculty of Science and Engineering,Department of Materials,Manchester,UK,M13 9PL

2. The University of Manchester,Centre for Process Integration, Faculty of Science and Engineering,Department of Chemical Engineering,Manchester,UK,M13 9PL

3. University of Bradford,Polymer IRC, School of Engineering,Sheffield,UK,BD7 1DP

Funder

Engineering and Physical Sciences Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178092/10178115/10178125.pdf?arnumber=10178125

Reference21 articles.

1. A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes

2. Modelling of melt pressure development in polymer extrusion: Effects of process settings and screw geometry

3. Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks

4. A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes

5. What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Neuro-Fuzzy Controller for Real-Time Melt Pressure Control in Polymer Extrusion Processes;2024 European Control Conference (ECC);2024-06-25

2. Multi‐source data‐driven approach for prediction of melt density during polymer compounding;Polymer Engineering & Science;2024-03-22