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Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics
Joint Authors
Cadini, F.
Pedroni, N.
Zio, Enrico
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-03-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data.
Their use is becoming increasingly popular in the complex modeling tasks required by diagnostic, safety, and control applications in complex technologies such as those employed in the nuclear industry.
In this paper, the nonlinear modeling capabilities of an infinite impulse response multilayer perceptron (IIR-MLP) for nuclear dynamics are considered in comparison to static modeling by a finite impulse response multilayer perceptron (FIR-MLP) and a conventional static MLP.
The comparison is made with respect to the nonlinear dynamics of a nuclear reactor as investigated by IIR-MLP in a previous paper.
The superior performance of the locally recurrent scheme is demonstrated.
American Psychological Association (APA)
Cadini, F.& Zio, Enrico& Pedroni, N.. 2008. Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics. Science and Technology of Nuclear Installations،Vol. 2008, no. 2008, pp.1-10.
https://search.emarefa.net/detail/BIM-490112
Modern Language Association (MLA)
Cadini, F.…[et al.]. Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics. Science and Technology of Nuclear Installations No. 2008 (2008), pp.1-10.
https://search.emarefa.net/detail/BIM-490112
American Medical Association (AMA)
Cadini, F.& Zio, Enrico& Pedroni, N.. Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics. Science and Technology of Nuclear Installations. 2008. Vol. 2008, no. 2008, pp.1-10.
https://search.emarefa.net/detail/BIM-490112
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490112