Advances in Streamflow Forecasting From Traditional to Modern Approaches
Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major data-driven approaches of streamflow forecasting including traditional approach of statistical and stochastic time-series modelling with their recent developments, stand-alone data-driven approach such a...
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| Hlavní autoři: | , |
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| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Chantilly
Elsevier
2021
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| Vydání: | 1 |
| Témata: | |
| ISBN: | 9780128206737, 012820673X |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major data-driven approaches of streamflow forecasting including traditional approach of statistical and stochastic time-series modelling with their recent developments, stand-alone data-driven approach such as artificial intelligence techniques, and modern. |
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| ISBN: | 9780128206737 012820673X |
| DOI: | 10.1016/B978-0-12-820673-7.01001-5 |