Rapid 3-D Bayesian site characterization: A tandem strategy

Computational methods in water resources - Volume 1 - Computational methods for subsurface flow and transport

Volumn , Issue , 2000, Pages 491-494

  Eppstein, M J ^a   Rizzo, D M ^a  

^a University of Vermont   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BAYESIAN ANALYSIS; SITE INVESTIGATION; SOIL CLASSIFICATION;

EID: 0033674649     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Conference Paper

References (10)

1. Simultaneous estimation of transmissivity values and zonation
2. Optimal three-dimensional traveltime tomography
3. Efficient three-dimensional data inversion: Soil characterization and moisture monitoring from cross-well ground-penetrating radar at a Vermont test site
4. Three-dimensional stochastic tomography with upscaling
5. Three-dimensional optical tomography
6. Biomedical optical tomography using dynamic parameterization and Bayesian conditioning on photon migration measurements
7. Characterization of aquifer properties using artificial neural networks, Neural kriging
8. Application of artificial neural networks for site characterization using 'hard' and 'soft' information
9. Comparison of site characterization methods that use mixed data