Table 8: Weight and bias values obtained by the Bayesian Regularization BP algorithm with 10 neurons.

i Input 1 Bias 1 Output
Node 1 3.1831 -3.7416 1.0969
Node 2 4.6201 -3.3772 0.9496
Node 3 -2.7785 2.0832 1.2592
Node 4 3.2129 -0.9658 0.3095
Node 5 3.0881 -0.3451 -0.1231
Node 6 -3.0856 -0.3557 0.0251
Node 7 -3.0853 -1.0384 -0.0381
Node 8 3.0822 1.7335 0.2706
Node 9 3.0794 2.4138 0.2646
Node 10 3.0795 3.0982 0.4054
Bias 2 0.3696