Water eutrophication assessment relied on various machine learning techniques: A case study in the Englishmen Lake (Northern Spain)
- 5 April 2019
- journal article
- research article
- Published by Elsevier BV in Ecological Modelling
- Vol. 404, 91-102
- https://doi.org/10.1016/j.ecolmodel.2019.03.009
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Short-term solar power prediction using a support vector machineRenewable Energy, 2012
- Coastal marine eutrophication assessment: A review on data analysisEnvironment International, 2011
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- A survey: algorithms simulating bee swarm intelligenceArtificial Intelligence Review, 2009
- M5 model tree based modelling of reference evapotranspirationHydrological Processes, 2009
- SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivationNature Genetics, 2008
- Effects of dissolved oxygen supply level on phosphorus release from lake sedimentsColloids and Surfaces A: Physicochemical and Engineering Aspects, 2008
- New Support Vector AlgorithmsNeural Computation, 2000
- Support-vector networksMachine Learning, 1995
- Cross-Validation of Regression ModelsJournal of the American Statistical Association, 1984