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Searching For Divisia/Inflation Relationships With The Aggregate Feedforward Neural Network

In: Applications of Artificial Intelligence in Finance and Economics

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  • Vincent A. Schmidt
  • Jane M. Binner

Abstract

Divisia component data is used in the training of an Aggregate Feedforward Neural Network (AFFNN), a general-purpose connectionist system designed to assist with data mining activities. The neural network is able to learn the money-price relationship, defined as the relationships between the rate of growth of the money supply and inflation. Learned relationships are expressed in terms of an automatically generated series of human-readable and machine-executable rules, shown to meaningfully and accurately describe inflation in terms of the original values of the Divisia component dataset.

Suggested Citation

  • Vincent A. Schmidt & Jane M. Binner, 2004. "Searching For Divisia/Inflation Relationships With The Aggregate Feedforward Neural Network," Advances in Econometrics, in: Applications of Artificial Intelligence in Finance and Economics, pages 225-241, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:aecozz:s0731-9053(04)19009-9
    DOI: 10.1016/S0731-9053(04)19009-9
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