Volume 5 Number 1
January 2008
Article Contents
Jane M. Binner, Alicia M. Gazely and Graham Kendall. Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques. International Journal of Automation and Computing, vol. 5, no. 1, pp. 58-62, 2008. doi: 10.1007/s11633-008-0058-3
Cite as: Jane M. Binner, Alicia M. Gazely and Graham Kendall. Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques. International Journal of Automation and Computing, vol. 5, no. 1, pp. 58-62, 2008. doi: 10.1007/s11633-008-0058-3

Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques

  • Received: 2007-05-01
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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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.

Jane M. Binner, Alicia M. Gazely and Graham Kendall. Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques. International Journal of Automation and Computing, vol. 5, no. 1, pp. 58-62, 2008. doi: 10.1007/s11633-008-0058-3
Citation: Jane M. Binner, Alicia M. Gazely and Graham Kendall. Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques. International Journal of Automation and Computing, vol. 5, no. 1, pp. 58-62, 2008. doi: 10.1007/s11633-008-0058-3
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