Use of Optimally Pruned Extreme Learning Machine (OP-ELM) in Forecasting Dissolved Oxygen Concentration (DO) Several Hours in Advance: a Case Study from the Klamath River, Oregon, USA
Crossref DOI link: https://doi.org/10.1007/s40710-016-0172-0
Published Online: 2016-06-07
Published Print: 2016-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Heddam, Salim
License valid from 2016-06-07