Model selection for system identification by means of artificial neural networks

Publikation: KonferenzbeitragPaperForschung

Autoren

  • Hans Neuner

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Details

OriginalspracheDeutsch
PublikationsstatusVeröffentlicht - 2011
VeranstaltungInternational Symposium on Deformation Monitoring: 5th IAG Symposium on Geodesy for Geotechnical and Structural Engineering, the 13th FIG Symposium on Deformation Measurements and Analysis and 2nd International Workshop on Spatial Information Technologies for Monitoring the Deformation of Large-Scale Man-made Linear Features - HongKong, China
Dauer: 2 Nov. 20114 Nov. 2011

Konferenz

KonferenzInternational Symposium on Deformation Monitoring
Land/GebietChina
OrtHongKong
Zeitraum2 Nov. 20114 Nov. 2011

Zitieren

Model selection for system identification by means of artificial neural networks. / Neuner, Hans.
2011. Beitrag in International Symposium on Deformation Monitoring, HongKong, China.

Publikation: KonferenzbeitragPaperForschung

Neuner, H 2011, 'Model selection for system identification by means of artificial neural networks', Beitrag in International Symposium on Deformation Monitoring, HongKong, China, 2 Nov. 2011 - 4 Nov. 2011.
Neuner, H. (2011). Model selection for system identification by means of artificial neural networks. Beitrag in International Symposium on Deformation Monitoring, HongKong, China.
Neuner H. Model selection for system identification by means of artificial neural networks. 2011. Beitrag in International Symposium on Deformation Monitoring, HongKong, China.
Neuner, Hans. / Model selection for system identification by means of artificial neural networks. Beitrag in International Symposium on Deformation Monitoring, HongKong, China.
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note = "International Symposium on Deformation Monitoring : 5th IAG Symposium on Geodesy for Geotechnical and Structural Engineering, the 13th FIG Symposium on Deformation Measurements and Analysis and 2nd International Workshop on Spatial Information Technologies for Monitoring the Deformation of Large-Scale Man-made Linear Features ; Conference date: 02-11-2011 Through 04-11-2011",

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