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Details of Grant 

EPSRC Reference: GR/L15388/01
Title: ADAPTIVE RADIAL BASIS FUNCTION NETWORKS
Principal Investigator: Hallam, Professor J
Other Investigators:
Leonard, Professor T Murray, Professor AF
Researcher Co-Investigators:
Project Partners:
Neural Computer Sciences Ltd Pre Nexus Migration Predictive Control Ltd
Queen's University Canada Royal Bank of Scotland
Department: Sch of Informatics
Organisation: University of Edinburgh
Scheme: Standard Research (Pre-FEC)
Starts: 01 May 1996 Ends: 30 June 1999 Value (£): 205,849
EPSRC Research Topic Classifications:
EPSRC Industrial Sector Classifications:
Financial Services Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
We propose to design, implement and evaluate local adaptation in radial basis function networks for supervised learning problems. This will build on previous work where we have shown the benefits of locally adapting the smoothness of the network output and lead to methods for adapting basis function sizes as well. We intend to explore ideas for local computation in order to improve learning speed. Extensive experiments are planned to test the performance of adaptive RBF networks relative to other algorithms on a wide range of problems, including many industrially relevant ones.
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Organisation Website: http://www.ed.ac.uk