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Dynamic error recovery in the ATLAS TDAQ system: using multi-layer perceptron neural networks
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Sloper, John Erik, Miotto, Giovanna Lehmann and Hines, Evor (2008) Dynamic error recovery in the ATLAS TDAQ system: using multi-layer perceptron neural networks. In: Hines, Evor L. and Leeson, Mark S., 1963- and Martínez-Ramón, Manel and Pardo, Matteo and Llobet, Eduard and Iliescu, Daciana and Yang, Jianhua, (eds.) Intelligent Systems: Techniques and Applications. Maastricht, The Netherlands: Shaker Publishing, pp. 223-248. ISBN 978-90-423-0345-4
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Official URL: http://www2.warwick.ac.uk/fac/sci/eng/staff/msl/pu...
Abstract
In this chapter we will show how intelligent system (IS) approaches can be successfully applied to an existing distributed software system of significant size; comprising 3000 nodes running more than 20000 processes. We will here use several IS engineering techniques in the context of the ATLAS (A Toroidal LHC AppparatuS) TDAQ (Trigger and DataAcQuisition) system currently being developed and used at CERN, Geneva.
Item Type: | Book Item | ||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Publisher: | Shaker Publishing | ||||
Place of Publication: | Maastricht, The Netherlands | ||||
ISBN: | 978-90-423-0345-4 | ||||
Book Title: | Intelligent Systems: Techniques and Applications | ||||
Editor: | Hines, Evor L. and Leeson, Mark S., 1963- and Martínez-Ramón, Manel and Pardo, Matteo and Llobet, Eduard and Iliescu, Daciana and Yang, Jianhua | ||||
Official Date: | 2008 | ||||
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Number of Pages: | 26 | ||||
Page Range: | pp. 223-248 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) |
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