Double locally weighted principal component regression for soft sensor with sample selection under supervised latent structure

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Double locally weighted principal component regression for soft sensor with sample selection under supervised latent structure
Authors
Keywords
Soft sensor, Just-in-time learning, Locally weighted principal component regression, Supervised latent structure
Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 153, Issue -, Pages 116-125
Publisher
Elsevier BV
Online
2016-03-10
DOI
10.1016/j.chemolab.2016.02.014

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

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

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now
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.