Methodology of extraction , optimization and application of logical rules

Methodology of extraction, optimization and application of sets of logical rules is described. The three steps are largely independent. Neural networks are used for initial rule extraction, local or global minimization procedures for optimization, and Gaussian uncertainties of measurements are assumed during application of logical rules. A tradeoff between rejection/error level is discussed. This methodology has been applied to a number of benchmark and real life problems with very good results.

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