Table 6:

Comparison of |${\rm {MAE}}_{{\rm {learn}}}$| 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
101.84382.25482.5785
152.50262.82582.5823
204.75994.18113.6932
253.69804.70524.2056
305.49705.98935.2526
354.99806.45755.7542
407.00167.75656.7696
456.50218.23347.2596
507.51089.50308.7298
Best1.84382.25482.5785
Worst7.51089.50308.7298
Avg.4.92385.76745.2028
Avg rank1.44442.77781.7778
NNCase ICase IICase III
101.84382.25482.5785
152.50262.82582.5823
204.75994.18113.6932
253.69804.70524.2056
305.49705.98935.2526
354.99806.45755.7542
407.00167.75656.7696
456.50218.23347.2596
507.51089.50308.7298
Best1.84382.25482.5785
Worst7.51089.50308.7298
Avg.4.92385.76745.2028
Avg rank1.44442.77781.7778
Table 6:

Comparison of |${\rm {MAE}}_{{\rm {learn}}}$| 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
101.84382.25482.5785
152.50262.82582.5823
204.75994.18113.6932
253.69804.70524.2056
305.49705.98935.2526
354.99806.45755.7542
407.00167.75656.7696
456.50218.23347.2596
507.51089.50308.7298
Best1.84382.25482.5785
Worst7.51089.50308.7298
Avg.4.92385.76745.2028
Avg rank1.44442.77781.7778
NNCase ICase IICase III
101.84382.25482.5785
152.50262.82582.5823
204.75994.18113.6932
253.69804.70524.2056
305.49705.98935.2526
354.99806.45755.7542
407.00167.75656.7696
456.50218.23347.2596
507.51089.50308.7298
Best1.84382.25482.5785
Worst7.51089.50308.7298
Avg.4.92385.76745.2028
Avg rank1.44442.77781.7778
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