Opening Pandora’s Box, Bottom Side Up Automated extraction of comprehensible multivariate power functions from real data

نویسنده

  • Elwin Oost
چکیده

In this thesis, we will present a method for automated extraction of multivariate, multi-term power functions from large, real data sets. We propose several modifications for the hybrid rule extraction/equation discovery system RF5 to make it applicable for large problems, and present a pruning algorithm to strongly increase the comprehensibility of the found formulas. Elwin Oost, Amsterdam, August 2002

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تاریخ انتشار 2002