Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

Jane M. Binner*, Alicia M. Gazely, Graham Kendall

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

This paper compares two methods to predict inflation rates in Europe. One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture are evolved. Results indicate that back propagation produces superior results. However, the evolving network still produces reasonable results with the advantage that the experimental set-up is minimal. Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.

Original languageEnglish
Pages (from-to)58-62
Number of pages5
JournalInternational Journal of Automation and Computing
Volume5
Issue number1
DOIs
Publication statusPublished - Jan 2008

Keywords

  • Divisia money
  • EuroDivisia
  • Evolutionary strategies
  • Inflation
  • Neural networks

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