New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA
Crossref DOI link: https://doi.org/10.1007/s40808-016-0232-5
Published Online: 2016-10-03
Published Print: 2016-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Heddam, Salim http://orcid.org/0000-0002-8055-8463
License valid from 2016-10-03