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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

The Advantages of Radial Basis Function Networks for Modelling Non-Linear Feature Spaces

Addison, Dale, Macintyre, John and Wermter, Stefan (2001) The Advantages of Radial Basis Function Networks for Modelling Non-Linear Feature Spaces. In: AIA-2001 Artificial Intelligence and Applications, 4-7 Sep 2001, Marbella, Spain. (Unpublished)

Item Type: Conference or Workshop Item (Paper)
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More Information

Depositing User: Barry Hall

Identifiers

Item ID: 9626
URI: http://sure.sunderland.ac.uk/id/eprint/9626

Users with ORCIDS

Catalogue record

Date Deposited: 07 Jun 2018 14:58
Last Modified: 21 Nov 2018 14:15

Contributors

Author: Dale Addison
Author: John Macintyre
Author: Stefan Wermter

University Divisions

Faculty of Technology

Subjects

Computing

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