An extended procedure of constructing neural networks for supervised dichotomy

K.J. Clos and N. Liu (1992) proposed a neural network generation procedure for supervised two-class discretization based on a continuous ID3 algorithm. The method constructs neural networks consisting of neurons with linear activation functions. We extend the procedure to allow decision boundaries to be any arbitrary function. The advantage of the extension is revealed by the decrease in size of the generated neural networks