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This is a repository copy of Non-Linear Systems Identification Using Neural Networks. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/78225/ Monograph: Chen, S., Billings, S.A. and Grant, P.M. (1989) Non-Linear Systems Identification Using Neural Networks. Research Report. Acse Report 370 . Dept of Automatic Control and System Engineering. University of Sheffield [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: Non-Linear Systems Identification Using Neural Networkseprints.whiterose.ac.uk/78225/1/acse report 370.pdf · 2018-03-28 · Abstract Multi-layered neural networks offer an exciting

This is a repository copy of Non-Linear Systems Identification Using Neural Networks.

White Rose Research Online URL for this paper:http://eprints.whiterose.ac.uk/78225/

Monograph:Chen, S., Billings, S.A. and Grant, P.M. (1989) Non-Linear Systems Identification Using Neural Networks. Research Report. Acse Report 370 . Dept of Automatic Control and System Engineering. University of Sheffield

[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: Non-Linear Systems Identification Using Neural Networkseprints.whiterose.ac.uk/78225/1/acse report 370.pdf · 2018-03-28 · Abstract Multi-layered neural networks offer an exciting
Page 3: Non-Linear Systems Identification Using Neural Networkseprints.whiterose.ac.uk/78225/1/acse report 370.pdf · 2018-03-28 · Abstract Multi-layered neural networks offer an exciting
Page 4: Non-Linear Systems Identification Using Neural Networkseprints.whiterose.ac.uk/78225/1/acse report 370.pdf · 2018-03-28 · Abstract Multi-layered neural networks offer an exciting
Page 5: Non-Linear Systems Identification Using Neural Networkseprints.whiterose.ac.uk/78225/1/acse report 370.pdf · 2018-03-28 · Abstract Multi-layered neural networks offer an exciting
Page 6: Non-Linear Systems Identification Using Neural Networkseprints.whiterose.ac.uk/78225/1/acse report 370.pdf · 2018-03-28 · Abstract Multi-layered neural networks offer an exciting
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