Simultaneous modelling and forecasting of hourly dissolved oxygen concentration (DO) using radial basis function neural network (RBFNN) based approach: a case study from the Klamath River, Oregon, USA
Crossref DOI link: https://doi.org/10.1007/s40808-016-0197-4
Published Online: 2016-07-20
Published Print: 2016-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Heddam, Salim http://orcid.org/0000-0002-8055-8463
License valid from 2016-07-20