9. The process of claim 8 wherein, for any continuous-valued input variable, specific input values are chosen to be representative of upper, lower, and middle statistical regions of said variable's value range, and those values are examined for possible inclusion in a rule.
8. A computer-implemented process for translating knowledge implicit in a continuous-state feedforward neural network stored in a computer into an explicit set of if-then rules supporting possible conclusions, said computer comprising a CPU and an output device coupled to the CPU, said neural network being stored in said CPU, said CPU comprising an explanation module, said process comprising directing the explanation module to perform the steps of: determining output states of the neural network based upon a set of input variables, some of whose values are known and others of whose values are unknown; determining, using the process of claim 10, a minimal subset of possible values of input variables which, if true, would result in reaching a final conclusion condition for the network, where said minimal subset of input values then constitutes a rule for said conclusion condition; searching input values for a set of all possible rules which support said conclusion condition; and displaying said rules on said output device.