ANALYSIS OF ARTIFICIAL NEURAL NETWORK UTILIZATION FOR BOUGUER ANOMALY INTERPOLATION
This research successfully developed an Artificial Neural Network (ANN) program for interpolating Bouguer anomaly data using Python. The study explored 162 combinations of hyperparameters to optimize the interpolation, varying the number of neurons (256, 512, 1024), activation functions (ReLU and...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87879 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |