A semi-supervised linear–nonlinear least-square learning network for prediction of carbon efficiency in iron ore sintering process

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A semi-supervised linear–nonlinear least-square learning network for prediction of carbon efficiency in iron ore sintering process
Authors
Keywords
Iron ore sintering, Carbon efficiency, Data-driven prediction, Semi-supervised learning
Journal
CONTROL ENGINEERING PRACTICE
Volume 100, Issue -, Pages 104454
Publisher
Elsevier BV
Online
2020-05-16
DOI
10.1016/j.conengprac.2020.104454

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.