5.3. Neural Network (NN)

Machine Learning: Multilayer Perceptron Neural Networks (MLP)

Self-Potential Dataset that was generated with 5,000 different spherical models (using sp_make_dataset.py) with differing electrical dipole moment, polarization angle, origin and depth to the centre of sphere here and seen below (using sp_show_dataset.py). This dataset contains training (80%) dan validation (20%) dataset.

This MLPNN used two (2) hidden layers, input layer used 101 point of data (neurons), first layer used 2 neurons and second layer used five (5) neurons. Then, learning rate = 0.1, activation function = hyperbolic tangent sigmoid function. The final MSE = 0.00306092 from 150 epochs.