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Model induction from data: towards the next generation of computational engines in hydraulics and hydrology

By: Material type: TextTextLanguage: English Publication details: Lisse Swets & Zeitlinger 2002Edition: Delft Univ of TechnologyDescription: 143pSubject(s): DDC classification:
  • 627.0285 D544
Summary: This thesis addresses model induction from data for the simulation of hydrodynamic processes in the aquatic environment. It introduces some popular artificial neural network architectures from different aspects and its applications such as multi-layer per
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This thesis addresses model induction from data for the simulation of hydrodynamic processes in the aquatic environment. It introduces some popular artificial neural network architectures from different aspects and its applications such as multi-layer per

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