Table 13:

Comparison of |${\rm {MAE}}_{{\rm {test}}}$| in different DHNN–BR2SAT models with different numbers of neurons. Bolded values represent the best values for the same number of neurons.

NNCase ICase IICase III
100.00000.00000.0100
150.02000.10950.0400
200.83000.60720.4683
250.34510.76480.5800
300.89980.93830.8443
350.76940.94910.8761
400.96760.98910.9381
450.96930.98830.9693
500.9820.99960.9899
Best0.00000.00000.0100
Worst0.98200.99960.9899
Avg.0.64260.70510.6351
Avg rank1.55562.72221.7222
NNCase ICase IICase III
100.00000.00000.0100
150.02000.10950.0400
200.83000.60720.4683
250.34510.76480.5800
300.89980.93830.8443
350.76940.94910.8761
400.96760.98910.9381
450.96930.98830.9693
500.9820.99960.9899
Best0.00000.00000.0100
Worst0.98200.99960.9899
Avg.0.64260.70510.6351
Avg rank1.55562.72221.7222
Table 13:

Comparison of |${\rm {MAE}}_{{\rm {test}}}$| in different DHNN–BR2SAT models with different numbers of neurons. Bolded values represent the best values for the same number of neurons.

NNCase ICase IICase III
100.00000.00000.0100
150.02000.10950.0400
200.83000.60720.4683
250.34510.76480.5800
300.89980.93830.8443
350.76940.94910.8761
400.96760.98910.9381
450.96930.98830.9693
500.9820.99960.9899
Best0.00000.00000.0100
Worst0.98200.99960.9899
Avg.0.64260.70510.6351
Avg rank1.55562.72221.7222
NNCase ICase IICase III
100.00000.00000.0100
150.02000.10950.0400
200.83000.60720.4683
250.34510.76480.5800
300.89980.93830.8443
350.76940.94910.8761
400.96760.98910.9381
450.96930.98830.9693
500.9820.99960.9899
Best0.00000.00000.0100
Worst0.98200.99960.9899
Avg.0.64260.70510.6351
Avg rank1.55562.72221.7222
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