Analyzing MSI rules for the USA extracted from a feedforward neural network

Vincent A. Schmidt, Jane Binner

Research output: Preprint or Working paperWorking paper


This paper introduces a mechanism for generating a series of rules that characterize the money price relationship for the USA, defined as the relationship between the rate of growth of the money supply and inflation. Monetary component data is used to train a selection of candidate feedforward neural networks. The selected network is mined for rules, expressed in human-readable and machine-executable form. The rule and network accuracy are compared, and expert commentary is made on the readability and reliability of the extracted rule set. The ultimate goal of this research is to produce rules that meaningfully and accurately describe inflation in terms of the monetary component dataset.
Original languageEnglish
Place of PublicationBirmingham
PublisherAston University
ISBN (Print)9781854497291
Publication statusPublished - Mar 2008

Bibliographical note



  • money price relationship
  • USA
  • rate of growth
  • money supply
  • inflation


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