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Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

Kan, G. / Yao, C. / Li, Q. / Li, Z. / Yu, Z. / Liu, Z. / Ding, L. / He, X. / Liang, K.

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Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

Kan, G. / Yao, C. / Li, Q. / Li, Z. / Yu, Z. / Liu, Z. / Ding, L. / He, X. / Liang, K.

Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

Kan, G. / Yao, C. / Li, Q. / Li, Z. / Yu, Z. / Liu, Z. / Ding, L. / He, X. / Liang, K.

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Title:

Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

Contributors:

Kan, G. (author) / Yao, C. (author) / Li, Q. (author) / Li, Z. (author) / Yu, Z. (author) / Liu, Z. (author) / Ding, L. (author) / He, X. (author) / Liang, K. (author)

Published in:

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT ; 29 ; 1345-1370

Publication date:

2015-01-01

Size:

26 pages

ISSN:

1436-3240

Type of media:

Article (Journal)

Type of material:

Language:

English

Classification:

DDC: 627

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