Integrated OBF-NN models with enhanced extrapolation capability for nonlinear systems
This paper proposes a nonlinear system identification using parallel linear-plus-neural network models that provide more accurate predictions on the process behavior even on extrapolated regions. For this purpose, a residuals-based identification algorithm using parallel integration of linear orthon...
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Main Authors: | , , , |
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Format: | Citation Index Journal |
Published: |
2013
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Subjects: | |
Online Access: | http://eprints.utp.edu.my/10745/1/jjpchz2013.pdf http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V4N-4JD0H11-1&_user=1196560&_coverDate=08%2F31%2F2006&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1590310395&_rerunOrigin=google&_acct=C000048039&_version http://eprints.utp.edu.my/10745/ |
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Institution: | Universiti Teknologi Petronas |
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http://eprints.utp.edu.my/10745/1/jjpchz2013.pdfhttp://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V4N-4JD0H11-1&_user=1196560&_coverDate=08%2F31%2F2006&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1590310395&_rerunOrigin=google&_acct=C000048039&_version
http://eprints.utp.edu.my/10745/