Flood Forecasting Based on an Improved Extreme Learning Machine Model Combined with the Backtracking Search Optimization Algorithm

Flood forecasting plays an important role in flood control and water resources management. Recently, the data-driven models with a simpler model structure and lower data requirement attract much more attentions. An extreme learning machine (ELM) method, as a typical data-driven method, with the adva...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Lu Chen [verfasserIn]

Na Sun [verfasserIn]

Chao Zhou [verfasserIn]

Jianzhong Zhou [verfasserIn]

Yanlai Zhou [verfasserIn]

Junhong Zhang [verfasserIn]

Qing Zhou [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2018

Schlagwörter:

flood forecasting

extreme learning machine (ELM)

backtracking search optimization algorithm (BSA)

the upper Yangtze River

Übergeordnetes Werk:

In: Water - MDPI AG, 2010, 10(2018), 10, p 1362

Übergeordnetes Werk:

volume:10 ; year:2018 ; number:10, p 1362

Links:

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Journal toc

DOI / URN:

10.3390/w10101362

Katalog-ID:

DOAJ019491824

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