Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /

PSZJBL

Bibliographic Details
Main Author: 486110 Perez, Gerald Augusto Corzo
Format:
Language:eng
Published: Netherlands, NE : CRC Press, 2009
Subjects:
_version_ 1796734353703698432
author 486110 Perez, Gerald Augusto Corzo
author_facet 486110 Perez, Gerald Augusto Corzo
author_sort 486110 Perez, Gerald Augusto Corzo
collection OCEAN
description PSZJBL
first_indexed 2024-03-05T10:05:44Z
format
id KOHA-OAI-TEST:431999
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T10:05:44Z
publishDate 2009
publisher Netherlands, NE : CRC Press,
record_format dspace
spelling KOHA-OAI-TEST:4319992020-12-19T17:15:27ZHybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques / 486110 Perez, Gerald Augusto Corzo Netherlands, NE : CRC Press,2009engPSZJBLHydrological forecastingHydrologic modelsURN:ISBN:9780415565974 (pbk.)
spellingShingle Hydrological forecasting
Hydrologic models
486110 Perez, Gerald Augusto Corzo
Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /
title Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /
title_full Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /
title_fullStr Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /
title_full_unstemmed Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /
title_short Hybrid models for hydrological forecasting : integration of data-driven and conceptual modelling techniques /
title_sort hybrid models for hydrological forecasting integration of data driven and conceptual modelling techniques
topic Hydrological forecasting
Hydrologic models
work_keys_str_mv AT 486110perezgeraldaugustocorzo hybridmodelsforhydrologicalforecastingintegrationofdatadrivenandconceptualmodellingtechniques