U.S. Department of EnergyOffice of Scientific and Technical Information
Implementation of MLP-NN on Field data for dipole dipole and Alt3 Wenner configurations
Abstract
Training data for both dipole dipole and Alt3 wenner configurations included. Field dataset for both dipole dipole and Alt3 wenner configurations included (Test dataset). Python code for implementation of MLP-NN included. Results for inversion of both configurations included.
- Authors:
-
- New Mexico State Univ., Las Cruces, NM (United States); New Mexico State Univ., Las Cruces, NM (United States)
- Publication Date:
- DOE Contract Number:
- SC0023132
- Research Org.:
- New Mexico State University, Las Cruces, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Subject:
- 58 GEOSCIENCES; Boosting; Electrical resistivity; Geophysics; Machine learning; Neural networks; Random forests
- OSTI Identifier:
- 2520476
- DOI:
- https://doi.org/10.6084/m9.figshare.24329497.v1
Citation Formats
Jamil, Ahsan. Implementation of MLP-NN on Field data for dipole dipole and Alt3 Wenner configurations. United States: N. p., 2023.
Web. doi:10.6084/m9.figshare.24329497.v1.
Jamil, Ahsan. Implementation of MLP-NN on Field data for dipole dipole and Alt3 Wenner configurations. United States. doi:https://doi.org/10.6084/m9.figshare.24329497.v1
Jamil, Ahsan. 2023.
"Implementation of MLP-NN on Field data for dipole dipole and Alt3 Wenner configurations". United States. doi:https://doi.org/10.6084/m9.figshare.24329497.v1. https://www.osti.gov/servlets/purl/2520476. Pub date:Wed Oct 18 00:00:00 EDT 2023
@article{osti_2520476,
title = {Implementation of MLP-NN on Field data for dipole dipole and Alt3 Wenner configurations},
author = {Jamil, Ahsan},
abstractNote = {Training data for both dipole dipole and Alt3 wenner configurations included. Field dataset for both dipole dipole and Alt3 wenner configurations included (Test dataset). Python code for implementation of MLP-NN included. Results for inversion of both configurations included.},
doi = {10.6084/m9.figshare.24329497.v1},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 18 00:00:00 EDT 2023},
month = {Wed Oct 18 00:00:00 EDT 2023}
}
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