Research Article
Single Neuron for Solving XOR like Nonlinear Problems
Table 7
Scaling Factor and loss Obtained by Πt-Neuron and Proposed Models with Increasing Input Dimension of N-bit Parity Problem.
| N | Scaling factor | L1 loss | πt-neuron (bπ‒t) | Ours (b) | πt-neuron | Ours |
| 2 | ‒1.7045 | 4.6900 | 0.3281 | 0.0093 | 5 | 0.3911 | 4.2760 | 2.1059 | 0.0093 | 7 | 72.1092 | 4.2208 | 0.8367 | 0.0058 | 10 | ‒42.6576 | 4.0720 | 0.5690 | 0.0047 | 13 | 33.9146 | 4.0548 | 1.0349 | 0.0037 | 15 | 64.4870 | 3.9516 | 0.8966 | 0.0079 | 18 | ‒20.1572 | 3.8317 | 0.9393 | 0.0072 | 20 | ‒79.3860 | 3.9426 | 0.8311 | 0.0072 | 25 | 83.9456 | 3.7275 | 0.9855 | 0.1431 |
|
|