Artificial intelligence based models for stream-flow forecasting: 2000–2015
• State-of-the-art for the application of AI in streamflow forecasting presented. • The authors defined each data-driven of AI and AI-complementary model. • An assessment and evaluation have been carried out for the literature review. • Several recommended researches have been proposed for future re...
Ausführliche Beschreibung
Autor*in: |
Yaseen, Zaher Mundher [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Umfang: |
16 |
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Übergeordnetes Werk: |
Enthalten in: Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China - Liu, Huiying ELSEVIER, 2021, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:530 ; year:2015 ; pages:829-844 ; extent:16 |
Links: |
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DOI / URN: |
10.1016/j.jhydrol.2015.10.038 |
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ELV02401348X |
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• State-of-the-art for the application of AI in streamflow forecasting presented. • The authors defined each data-driven of AI and AI-complementary model. • An assessment and evaluation have been carried out for the literature review. • Several recommended researches have been proposed for future research. |
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• State-of-the-art for the application of AI in streamflow forecasting presented. • The authors defined each data-driven of AI and AI-complementary model. • An assessment and evaluation have been carried out for the literature review. • Several recommended researches have been proposed for future research. |
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• State-of-the-art for the application of AI in streamflow forecasting presented. • The authors defined each data-driven of AI and AI-complementary model. • An assessment and evaluation have been carried out for the literature review. • Several recommended researches have been proposed for future research. |
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