Extracting rules from feedforward Boolean neural networks

A method to extract rules from a feedforward Boolean neural networks (BNN) is described. We argue that rule extraction in BNN is more feasible and more natural than in other artificial neural networks models. This technique allows the understanding of how the neural networks reach a solution of a problem. A straight forward application of rule extraction from neural networks is the design of expert systems.