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Appraisal of data-driven and mechanistic emulators of nonlinear
  hydrodynamic urban drainage simulators
v1v2 (latest)

Appraisal of data-driven and mechanistic emulators of nonlinear hydrodynamic urban drainage simulators

25 September 2016
J. P. Carbajal
J. Leitão
Carlo Albert
J. Rieckermann
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Appraisal of data-driven and mechanistic emulators of nonlinear hydrodynamic urban drainage simulators"

3 / 3 papers shown
Title
Scalable Approximate Bayesian Computation for Growing Network Models via
  Extrapolated and Sampled Summaries
Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries
Louis Raynal
Sixing Chen
Antonietta Mira
J. Onnela
21
3
0
09 Nov 2020
Modeling overland flow from local inflows in almost no-time, using Self
  Organizing Maps
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps
J. Leitão
M. Zaghloul
V. Moosavi
AI4CE
18
0
0
23 Sep 2018
Principal component analysis and sparse polynomial chaos expansions for
  global sensitivity analysis and model calibration: application to urban
  drainage simulation
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
J. Nagel
J. Rieckermann
Bruno Sudret
37
65
0
11 Sep 2017
1