TWO LAYER ARTIFICIAL NEURAL NETWORK
Output is sum = (ln1* w1) + (In2 * w2) + bias
The output should be greater than 0 , sum > 0
In1 | In2 | w1 | w2 | Bias | Sum | NAND gate Output |
0 | 0 | -0.5 | 0.1 | 1 | 1 | 1 |
0 | 1 | -0.5 | 0.1 | 1 | 0.5 | 1 |
1 | 0 | -0.5 | 0.1 | 1 | 0.5 | 1 |
1 | 1 | -0.5 |
0.1 |
1 | 0 | 0 |
Error can be find out by using the formula - current output - Expected output
current output can be done by using the sum and expected output is the NAND gate output.
2. The following truth table defines the logical NAND operation: In1 In2 In1 NAND inz 0...
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