Dynamic neural networks with hybrid structures for
nonlinear system identification

Jiamei Deng

doi:10.1016/j.engappai.2012.05.003

Dynamic neural networks with hybrid structures for nonlinear system identification

Jiamei Deng

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	281-292
Journal	Engineering Applications of Artificial Intelligence
Volume	26
Issue number	1
DOIs	https://doi.org/10.1016/j.engappai.2012.05.003
Publication status	Published - Jan 2013
Externally published	Yes

Bibliographical note

Note: NOTICE: the attached file is the author's version of a work that was accepted for publication in Engineering Applications of Artificial Intelligence. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Engineering Applications of Artificial Intelligence [VOL 26, ISSUE 1, (January 2013)] http://dx.doi.org/10.1016/j.engappai.2012.05.003

Keywords

Applied mathematics
nonlinear systems
recurrent neural networks
system identification

Access to Document

10.1016/j.engappai.2012.05.003

EAAI-11-537[1]Submitted manuscript, 1.43 MBLicence: Unspecified

http://dx.doi.org/10.1016/j.engappai.2012.05.003

Cite this

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title = "Dynamic neural networks with hybrid structures for nonlinear system identification",

keywords = "Applied mathematics, nonlinear systems, recurrent neural networks, system identification",

author = "Jiamei Deng",

note = "Note: NOTICE: the attached file is the author's version of a work that was accepted for publication in Engineering Applications of Artificial Intelligence. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Engineering Applications of Artificial Intelligence [VOL 26, ISSUE 1, (January 2013)] http://dx.doi.org/10.1016/j.engappai.2012.05.003",

year = "2013",

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PY - 2013/1

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KW - Applied mathematics

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KW - recurrent neural networks

KW - system identification

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M3 - Article

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EP - 292

JO - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

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ER -