1. Modeling and Inversion Methods for the Interpretation of Resistivity Logging Tool Response;Anderson,2001
2. Deep learning methods for solving linear inverse problems: research directions and paradigms;Bai;Signal Process.,2020
3. GA-optimized backpropagation neural network with multi-parameterized gradients and applications to predicting plasma etch data;Byungwhan;Chemometr. Intell. Lab. Syst.,2005
4. A hybrid method for inversion of 3D DC resistivity logging measurements;Ewa;Nat. Comput.,2015
5. Rapid 2-D inversion of resistivity logging data;Frenkel,1995