The Annual Maximum Flood Peak Discharge Forecasting Using Hermite Projection Pursuit Regression with SSO and LS Method

Abstract Accurate prediction of extreme flood peak discharge is essential in developing the best management practices to avoid and reduce flood disaster. In recent years, many techniques have been pronounced as a branch of computer science to model wide range of hydrological process. Nevertheless, e...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Wang, Wen-chuan [verfasserIn]

Chau, Kwok-wing [verfasserIn]

Xu, Dong-mei [verfasserIn]

Qiu, Lin [verfasserIn]

Liu, Can-can [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2016

Schlagwörter:

Annual maximum flood peak

Flood forecasting

Hermite polynomial

Projection pursuit regression

Social spider optimization

Least square method

Artificial neural network

Übergeordnetes Werk:

Enthalten in: Water resources management - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987, 31(2016), 1 vom: 11. Nov., Seite 461-477

Übergeordnetes Werk:

volume:31 ; year:2016 ; number:1 ; day:11 ; month:11 ; pages:461-477

Links:

Volltext

DOI / URN:

10.1007/s11269-016-1538-9

Katalog-ID:

SPR018392466

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