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This is a repository copy of Multi-scale Radial Basis Function Networks. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/85346/ Monograph: Billings, S.A., Wei, H.L. and Balikhin, M.A. (2005) Multi-scale Radial Basis Function Networks. Research Report. ACSE Research Report 894 . Department of Automatic Control and Systems Engineering [email protected] https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher’s website. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request.

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Page 1: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least

This is a repository copy of Multi-scale Radial Basis Function Networks.

White Rose Research Online URL for this paper:http://eprints.whiterose.ac.uk/85346/

Monograph:Billings, S.A., Wei, H.L. and Balikhin, M.A. (2005) Multi-scale Radial Basis Function Networks. Research Report. ACSE Research Report 894 . Department of Automatic Control and Systems Engineering

[email protected]://eprints.whiterose.ac.uk/

Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher’s website.

Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request.

mailto:[email protected]
https://eprints.whiterose.ac.uk/
Page 2: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 3: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 4: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 5: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 6: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 7: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 8: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 9: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 10: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 11: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 12: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 13: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 14: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 15: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 16: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 17: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 18: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 19: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 20: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least
Page 21: Multi-scale Radial Basis Function Networksfixed grid, thus multiscale RBF networks can be easily converted into a linear-in-the-parameters model form. The standard orthogonal least

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