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 - 1 Jan 2008

Fingerprint

Backpropagation
Artificial intelligence
Artificial Intelligence
Network architecture
Back-propagation Neural Network
Back Propagation
Network Architecture
Neural networks
Inflation
Predict

Keywords

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

Cite this

Binner, Jane M. ; Gazely, Alicia M. ; Kendall, Graham. / Evaluating the performance of a EuroDivisia index using artificial intelligence techniques. In: International Journal of Automation and Computing. 2008 ; Vol. 5, No. 1. pp. 58-62.
@article{501d9513d48741d1a39c49d0d8833cd9,
title = "Evaluating the performance of a EuroDivisia index using artificial intelligence techniques",
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.",
keywords = "Divisia money, EuroDivisia, Evolutionary strategies, Inflation, Neural networks",
author = "Binner, {Jane M.} and Gazely, {Alicia M.} and Graham Kendall",
year = "2008",
month = "1",
day = "1",
doi = "10.1007/s11633-008-0058-3",
language = "English",
volume = "5",
pages = "58--62",
journal = "International Journal of Automation and Computing",
issn = "1476-8186",
publisher = "Chinese Academy of Sciences",
number = "1",

}

Evaluating the performance of a EuroDivisia index using artificial intelligence techniques. / Binner, Jane M.; Gazely, Alicia M.; Kendall, Graham.

In: International Journal of Automation and Computing, Vol. 5, No. 1, 01.01.2008, p. 58-62.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

AU - Binner, Jane M.

AU - Gazely, Alicia M.

AU - Kendall, Graham

PY - 2008/1/1

Y1 - 2008/1/1

N2 - 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.

AB - 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.

KW - Divisia money

KW - EuroDivisia

KW - Evolutionary strategies

KW - Inflation

KW - Neural networks

UR - http://www.scopus.com/inward/record.url?scp=38749137754&partnerID=8YFLogxK

U2 - 10.1007/s11633-008-0058-3

DO - 10.1007/s11633-008-0058-3

M3 - Article

AN - SCOPUS:38749137754

VL - 5

SP - 58

EP - 62

JO - International Journal of Automation and Computing

JF - International Journal of Automation and Computing

SN - 1476-8186

IS - 1

ER -