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Breitner, Michael H.
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Prognose und Handel von Öl-Future-Spreads durch Multi-Layer-Perceptrons und High-Order-Neuronalnetze mit Faun 1.1
Polus, Christoph
;
Mettenheim, Hans-Jörg von
;
Breitner, …
-
2009
Persistent link: https://www.econbiz.de/10008840902
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2
Prognose und Handel von Derivaten auf Strom mit Künstlichen Neuronalen Netzen
Hofmann, Horst-Oliver
;
Mettenheim, Hans-Jörg von
; …
-
2009
Persistent link: https://www.econbiz.de/10008840903
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3
Forecasting complex systems with shared layer perceptrons
Mettenheim, Hans-Jörg von
;
Breitner, Michael H.
- In:
Operations research proceedings 2010 : selected papers …
,
(pp. 15-20)
.
2011
Persistent link: https://www.econbiz.de/10009260045
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4
Modelle zur Analyse, Auswahl, Einführung und Erfolgsmessung von betrieblichen Informationssystemen
Zakhariya, Halyna
-
2015
Persistent link: https://www.econbiz.de/10011441447
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5
Real-time pricing of options on currency futures with artificial neural networks
Spreckelsen, Christian von
;
Mettenheim, Hans-Jörg von
; …
- In:
Journal of forecasting
33
(
2014
)
6
,
pp. 419-432
Persistent link: https://www.econbiz.de/10010425541
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6
Special issue: Forecasting financial markets
Breitner, Michael H.
(
contributor
)
-
2014
Persistent link: https://www.econbiz.de/10010426236
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7
Analysis of electrical load balancing by simulation and neural network forecast
Köpp, Cornelius
;
Mettenheim, Hans-Jörg von
;
Klages, Marc
- In:
Operations research proceedings 2010 : selected papers …
,
(pp. 519-524)
.
2011
Persistent link: https://www.econbiz.de/10009298349
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8
Predictive maintenance as an Internet of Things enabled business model : a taxonomy
Passlick, Jens
;
Dreyer, Sonja
;
Olivotti, Daniel
; …
- In:
Electronic markets : EM ; the international journal of …
31
(
2021
)
1
,
pp. 67-87
Persistent link: https://www.econbiz.de/10012547934
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9
Decision support for the automotive industry : forecasting residual values using artificial neural networks
Gleue, Christoph
;
Eilers, Dennis
;
Mettenheim, Hans-Jörg von
- In:
Business & information systems engineering : BISE ; the …
61
(
2019
)
4
,
pp. 385-397
Persistent link: https://www.econbiz.de/10012053009
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