Integrating support vector regression with genetic algorithm for CO 2 -oil minimum miscibility pressure (MMP) in pure and impure CO 2 streams

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Integrating support vector regression with genetic algorithm for CO 2 -oil minimum miscibility pressure (MMP) in pure and impure CO 2 streams
Authors
Keywords
Minimum miscibility pressure, CO, 2, Genetic algorithm, Support vector regression, Correlation
Journal
FUEL
Volume 182, Issue -, Pages 550-557
Publisher
Elsevier BV
Online
2016-06-10
DOI
10.1016/j.fuel.2016.05.124

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

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
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.