Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach

Title
Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach
Authors
Keywords
Support vector machines (SVMs), Particle swarm optimization (PSO), Eutrophication in water bodies, Regression analysis, 62G08, 92B20, 68T20
Journal
JOURNAL OF MATHEMATICAL BIOLOGY
Volume 76, Issue 4, Pages 817-840
Publisher
Springer Nature
Online
2017-07-15
DOI
10.1007/s00285-017-1161-2

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