A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network

Humphrey, G.; Gibbs, M.; Dandy, G.; Maier, H.

doi:10.1016/j.jhydrol.2016.06.026

A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network

Date

2016

Authors

Humphrey, G.

Gibbs, M.

Dandy, G.

Maier, H.

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Journal article

Citation

Journal of Hydrology, 2016; 540:623-640

Statement of Responsibility

Greer B. Humphrey, Matthew S. Gibbs, Graeme C. Dandy, Holger R. Maier

DOI

10.1016/j.jhydrol.2016.06.026

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Abstract not available

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https://doi.org/10.1016/j.jhydrol.2016.06.026

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http://hdl.handle.net/2440/105969

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A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network

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