Table 9. Weights and Biases of the Proposed Conductivity Model for Dolomite.
hidden layer neurons (Nh) | weights between input and hidden layers (w1) | weights between hidden and output layers (w2) | hidden layer bias (b1) | output layer bias (b2) | |||
---|---|---|---|---|---|---|---|
1 | –0.541 | –2.654 | 0.455 | –1.765 | 2.032 | 3.084 | –0.584 |
2 | 1.823 | 0.728 | –0.308 | 2.064 | 1.200 | –2.155 | |
3 | –0.744 | 0.071 | –3.273 | 1.274 | –0.049 | 1.224 | |
4 | 0.396 | 3.026 | –0.462 | –2.078 | 0.460 | –0.711 | |
5 | –0.227 | –2.129 | 2.148 | 0.467 | –1.336 | 0.444 | |
6 | 0.565 | 0.450 | –2.782 | 0.774 | –0.914 | –0.828 | |
7 | 0.752 | 2.023 | –1.729 | 0.545 | –1.310 | 0.341 | |
8 | –1.731 | 0.041 | 0.084 | 1.785 | 0.540 | –1.618 | |
9 | –2.468 | 1.091 | 2.787 | 0.817 | –0.898 | –2.944 | |
10 | 0.633 | –0.274 | –2.087 | –1.739 | 0.529 | –2.856 |