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This is a repository copy of Training Basis Function Networks Including RBF and Multiresolution Wavelet Models with an Adaptive Orthogonal Least Squares Algorithm. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/84817/ Monograph: Wei, Hua-Liang and Billings, S.A. (2005) Training Basis Function Networks Including RBF and Multiresolution Wavelet Models with an Adaptive Orthogonal Least Squares Algorithm. Research Report. ACSE Research Report 892 . 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.

Training Basis Function Networks Including RBF and ... · by the noise variable e(t) .0ne of the reasons that the moving average terms are included in the NARMAX model (I) is to ensure

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Page 1: Training Basis Function Networks Including RBF and ... · by the noise variable e(t) .0ne of the reasons that the moving average terms are included in the NARMAX model (I) is to ensure

This is a repository copy of Training Basis Function Networks Including RBF and Multiresolution Wavelet Models with an Adaptive Orthogonal Least Squares Algorithm.

White Rose Research Online URL for this paper:http://eprints.whiterose.ac.uk/84817/

Monograph:Wei, Hua-Liang and Billings, S.A. (2005) Training Basis Function Networks Including RBF and Multiresolution Wavelet Models with an Adaptive Orthogonal Least Squares Algorithm.Research Report. ACSE Research Report 892 . 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.

Page 2: Training Basis Function Networks Including RBF and ... · by the noise variable e(t) .0ne of the reasons that the moving average terms are included in the NARMAX model (I) is to ensure
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