Machine Learning Methods for Inverse Modeling
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[1] Alberto Guadagnini,et al. Conditioning mean steady state flow on hydraulic head and conductivity through geostatistical inversion , 2003 .
[2] S. P. Neuman,et al. Estimation of Aquifer Parameters Under Transient and Steady State Conditions: 3. Application to Synthetic and Field Data , 1986 .
[3] Daniel M. Tartakovsky,et al. Delineation of geologic facies with statistical learning theory , 2004 .
[4] Daniel M. Tartakovsky,et al. Probabilistic reconstruction of geologic facies , 2004 .
[5] S. P. Neuman,et al. Estimation of aquifer parameters under transient and steady-state conditions: 2 , 1986 .
[6] B. Wohlberg,et al. Support Vector Machines for Delineation of Geologic Facies from Poorly Differentiated Data , 2006 .
[7] M. Eppstein,et al. SIMULTANEOUS ESTIMATION OF TRANSMISSIVITY VALUES AND ZONATION , 1996 .
[8] S. P. Neuman,et al. Inverse stochastic moment analysis of steady state flow in randomly heterogeneous media , 2006 .
[9] Mikhail Kanevski,et al. Analysis and modelling of spatial environment data , 2004 .
[10] W. Yeh,et al. Identification of Parameter Structure in Groundwater Inverse Problem , 1985 .
[11] Frank T.-C. Tsai,et al. Characterization and identification of aquifer heterogeneity with generalized parameterization and Bayesian estimation , 2004 .
[12] Andres Alcolea,et al. Pilot points method incorporating prior information for solving the groundwater flow inverse problem , 2006 .
[13] Alexander J. Smola,et al. Learning with kernels , 1998 .
[14] Daniel M. Tartakovsky,et al. Subsurface characterization with support vector machines , 2006, IEEE Transactions on Geoscience and Remote Sensing.