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Comparison of static-feedforward and dynamic-feedback neural networks for rainfall–runoff modeling

✍ Scribed by Yen-Ming Chiang; Li-Chiu Chang; Fi-John Chang

Book ID
116657589
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
755 KB
Volume
290
Category
Article
ISSN
0022-1694

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## Abstract Growing interest in the use of artificial neural networks (ANNs) in rainfall‐runoff modelling has suggested certain issues that are still not addressed properly. One such concern is the use of network type, as theoretical studies on a multi‐layer perceptron (MLP) with a sigmoid transfer