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Figure 5. Two-layer feed-forward neural network used for classification. z_i = the ith feature, v_ij = the weight of the synapse that connects the jth input to the ith neuron in the hidden layer, y_i = the ith neuron in the hidden layer, w_i = the weight of the synapse that connects the ith neuron in the hidden layer to the output, = the sigmoidal activation function, and o = the output.