HIGHLIGHTS
- who: I. and colleagues from the Universidade Federal do ABC, Santo Andru00e9, have published the research: Climate Indices Impact in Monthly Streamflow Series Forecasting, in the Journal: (JOURNAL)
- what: In this study among a set of 27 climate indices the authors identified the most relevant for improving the performance of the models applied to monthly seasonal streamflow A database provided by the NOAA Physical Sciences Laboratory was used as exogenous variables for three machine learning models (support vector regression extreme learning machine and kernel ridge regression) and one linear model (seasonal autoregressive integrated moving average . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.