An Artificial Neural Network System of Leading Indicators

Andrew Blake ()
Authors registered in the RePEc Author Service: E Philip Davis () and Joseph P. Byrne

No 144, National Institute of Economic and Social Research (NIESR) Discussion Papers from National Institute of Economic and Social Research

Abstract: We construct an artificial neural network to act as a system of leading indicators. We focus on radial basis functions as the architecture and forward selection as the method for determining the number of basis functions in the network. A brief review is given of the advantages of this as a strategy. Using common heuristics to determine scaling, radii and centre population, we find that the results for output growth prediction for six European countries are promising.

Date: 1999-01
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:nsr:niesrd:144

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