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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis Gerald Augusto Corzo Perez 1. izdevums
Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis
Gerald Augusto Corzo Perez
Discusses architectures for integrating hydrological knowledge and conceptual models with data-driven models for flow forecasting, exploring hybrid modeling approaches, modular models based on clustering, neural network error correction, committee models for streamflow forecasting, and fuzzy committee models for downscaling weather information.
228 pages
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2017. gada 30. jūnijs |
| ISBN13 | 9781138434004 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 228 |
| Izmēri | 150 × 220 × 20 mm · 580 g |
| Valoda | Angļu |
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