Developing Efficient Strategies for Automatic Calibration of Computationally Intensive Environmental Models

Developing Efficient Strategies for Automatic Calibration of Computationally Intensive Environmental Models

Show other versions (1)

Environmental simulation models have been playing a key role in civil and environmental engineering decision making processes for decades. The utility of an environmental model depends on how well the model is structured and calibrated. Model calibration is typically in an automated form where the s...

Full description

Bibliographic Details
Main Author: Razavi, Seyed Saman
Language:en
Published: 2013
Subjects:
Optimization
Computationally Intensive Simulation Models
Uncertainty Analysis
Surrogate Modelling
Function Approximation
Metamodelling
Low-fidelity Models
Surrogate Data
Preemption
Kriging
Neural Networks
Radial Basis Functions
Civil Engineering
Online Access:http://hdl.handle.net/10012/7443

Internet

http://hdl.handle.net/10012/7443

Similar Items