Performance of artificial neural networks and linear models to quantify 4 trace gas species in an oil and gas production region with low-cost sensors

Published 2018 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Performance of artificial neural networks and linear models to quantify 4 trace gas species in an oil and gas production region with low-cost sensors
Authors
Keywords
Low-cost sensors, Field calibration, Artificial neural networks, Linear regression models, Air quality, Oil and gas production
Journal
SENSORS AND ACTUATORS B-CHEMICAL
Volume 283, Issue -, Pages 504-514
Publisher
Elsevier BV
Online
2018-12-13
DOI
10.1016/j.snb.2018.12.049

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

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More
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.