C++ Neural Networks and Fuzzy Logic: Preface

CoordinatesHidden LayerWeighted SumCommentActivationContribution to OutputSum

G:1,1,112.2>1.810.6

2−0.8<0.0500

3−1.4<−0.2000.6

The weighted sum at the output neuron is 0.6, and it is greater than the threshold value 0.5. Therefore, the

output neuron fires, and at the vertex G, the function is evaluated to have a value of +1.

Table 5.8 shows the performance of the network with the rest of the vertices of the cube. You will notice that

the network computes a value of +1 at the vertices, O, A, F, and G, and a –1 at the rest.

Table 5.8 Results with Other Inputs