Figure 4
Artificial neural network for binary classification. Xj = (x1j, xij, …, xnj) is one example to be classified by the network. hij is the output of a hidden neuron, computed as shown in (1). Yj = (y1j, y2j) is the output of the network for the example Xj computed using (2). |