A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task

Title
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task
Authors
Keywords
Support vector regression (SVR), Empirical mode decomposition (EMD), Krill herd (KH) algorithm, Tent chaotic mapping function
Journal
NEUROCOMPUTING
Volume 410, Issue -, Pages 185-201
Publisher
Elsevier BV
Online
2020-06-09
DOI
10.1016/j.neucom.2020.05.075

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation