MLP-NN vs Gauss-Newton files
- New Mexico State Univ., Las Cruces, NM (United States); New Mexico State Univ., Las Cruces, NM (United States)
-Input files for randomly selected subset data (30 instances) from primary dipole-dipole forward modeling data.-Inversion results in surfer grid format as well as in .DAT format.-Scatterplots for MLP-NN vs Gauss-Newton present in the excel sheet.
- Research Organization:
- New Mexico State University, Las Cruces, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- DOE Contract Number:
- SC0023132
- OSTI ID:
- 2520487
- Country of Publication:
- United States
- Language:
- English
Comparison of machine learning and electrical resistivity arrays to inverse modeling for locating and characterizing subsurface targets
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journal | October 2024 |
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OSTI ID:2520476