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Evaluation of dynamic regression and artificial neural networks models for real-time hydrological drought forecasting

Crossref DOI link: https://doi.org/10.1007/s12517-017-2990-4

Published Online: 2017-06-14

Published Print: 2017-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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