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. 2020 Jul 2;5(27):16919–16931. doi: 10.1021/acsomega.0c02123

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