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Design of multi-layer neural networks for accurate identification of nonlinear mappingsGuidelines for the design of multilayer neural networks for the identification of nonlinear mappings are considered. Since nonlinear mappings can be approximated by a one-hidden-layer neural network, an approach to determine the sufficient number of hidden layer nodes to achieve a global minima of the identification error function is considered.
Document ID
19920046406
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Teixeira, Edilberto
(NASA Lewis Research Center Cleveland, OH, United States)
Loparo, Kenneth
(Case Western Reserve University Cleveland, OH, United States)
Gomide, Fernando A. C.
(Campinas, Universidade Estadual, Brazil)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Subject Category
Cybernetics
Meeting Information
Meeting: 1991 American Control Conference
Location: Boston, MA
Country: United States
Start Date: June 26, 1991
End Date: June 28, 1991
Sponsors: American Automatic Control Council
Accession Number
92A29030
Funding Number(s)
CONTRACT_GRANT: NAG3-788
CONTRACT_GRANT: CNPQ-300729/86-3
Distribution Limits
Public
Copyright
Other

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