An Artifical Neural Network System of Leading Indicators

Andrew Peter Blake ()

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

Downloads: (external link)
http://www.niesr.ac.uk/pubs/dps/dp144.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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

Access Statistics for this paper

More papers in NIESR Discussion Papers from National Institute of Economic and Social Research
Address: 2 Dean Trench Street Smith Square London SW1P 3HE
Series data maintained by Communications Manager ().