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ORCIDHans-Georg Zimmermann
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2020 – today
- 2020
[c28]Michel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann:
Handling missing data in recurrent neural networks for air quality forecasting. ESANN 2020: 351-356- [c27]Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah
, Ronnie Becker, Hans-Georg Zimmermann:
On Error Correction Neural Networks for Economic Forecasting. FUSION 2020: 1-8 - [i1]Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann:
On Error Correction Neural Networks for Economic Forecasting. CoRR abs/2004.05277 (2020)
2010 – 2019
- 2012
- [j8]Hans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann, Thomas A. Runkler:
Recurrent Neural Networks for Industrial Procurement Decisions. Künstliche Intell. 26(4): 403-406 (2012) - [c26]Alexey Minin, Alois C. Knoll, Hans-Georg Zimmermann:
Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem. ESANN 2012 - [p3]Ralph Neuneier, Hans-Georg Zimmermann:
How to Train Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 369-418 - [p2]Hans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann:
Forecasting with Recurrent Neural Networks: 12 Tricks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 687-707 - 2011
- [c25]Hans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva:
Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search Algorithms. ESANN 2011 - [c24]Hans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva:
Historical Consistent Complex Valued Recurrent Neural Network. ICANN (1) 2011: 185-192 - [c23]Hans-Georg Zimmermann, Ralph Grothmann, Christoph Tietz:
Forecasting Market Prices with Causal-Retro-Causal Neural Networks. OR 2011: 579-584 - 2010
- [c22]Hans-Georg Zimmermann, Ralph Grothmann, Christoph Tietz, Holger von Jouanne-Diedrich:
Market Modeling, Forecasting and Risk Analysis with Historical Consistent Neural Networks. OR 2010: 531-536
2000 – 2009
- 2008
- [j7]Anton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann:
Learning long-term dependencies with recurrent neural networks. Neurocomputing 71(13-15): 2481-2488 (2008) - 2007
- [j6]Anton Maximilian Schäfer, Hans-Georg Zimmermann:
Recurrent Neural Networks are Universal approximators. Int. J. Neural Syst. 17(4): 253-263 (2007) - [c21]Anton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann:
The Recurrent Control Neural Network. ESANN 2007: 319-324 - 2006
- [c20]Anton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann:
Learning Long Term Dependencies with Recurrent Neural Networks. ICANN (1) 2006: 71-80 - [c19]Anton Maximilian Schäfer, Hans-Georg Zimmermann:
Recurrent Neural Networks Are Universal Approximators. ICANN (1) 2006: 632-640 - [c18]Hans-Georg Zimmermann, Lorenzo Bertolini, Ralph Grothmann, Anton Maximilian Schäfer, Christoph Tietz:
A Technical Trading Indicator Based on Dynamical Consistent Neural Networks. ICANN (2) 2006: 654-663 - 2005
- [j5]Hans-Georg Zimmermann, Ralph Grothmann:
Optimal asset allocation for a large number of investment opportunities. Intell. Syst. Account. Finance Manag. 13(1): 33-40 (2005) - 2002
- [c17]Çaglayan Erdem, Hans-Georg Zimmermann:
Segmental duration control by time delay neural networks with asymmetric causal and retro-causal information flows. ESANN 2002: 269-274 - [c16]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Undershooting: modeling dynamical systems by time grid refinements. ESANN 2002: 395-400 - [c15]Hans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann:
Yield curve forecasting by error correction neural networks and partial learning. ESANN 2002: 407-412 - [c14]Çaglayan Erdem, Hans-Georg Zimmermann:
A data-driven method for input feature selection within neural prosody generation. ICASSP 2002: 477-480 - 2001
- [j4]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Multi-agent modeling of multiple FX-markets by neural networks. IEEE Trans. Neural Networks 12(4): 735-743 (2001) - [c13]Achim F. Müller, Hans-Georg Zimmermann:
Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context Length. ICANN 2001: 57-64 - [c12]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Multi-agent FX-Market Modeling Based on Cognitive Systems. ICANN 2001: 767-774 - [c11]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Active Portfolio-Management based on Error Correction Neural Networks. NIPS 2001: 1465-1472 - [c10]Çaglayan Erdem, Hans-Georg Zimmermann:
Segmental duration control with asymmetric causal retro-causal neural networks. SSW 2001: 119 - [c9]Horst-Udo Hain, Hans-Georg Zimmermann:
A multi-lingual system for the determination of phonetic word stress using soft feature selection by neural networks. SSW 2001: 120 - 2000
- [c8]Achim F. Müller, Hans-Georg Zimmermann, Ralph Neuneier:
Robust generation of symbolic prosody by a neural classifier based on autoassociators. ICASSP 2000: 1285-1288 - [c7]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Modeling of the German Yield Curve by Error Correction Neural Networks. IDEAL 2000: 262-267
1990 – 1999
- 1997
- [c6]Hans-Georg Zimmermann, Ralph Neuneier:
The Observer-Observation Dilemma in Neuro-Forecasting. NIPS 1997: 992-998 - 1996
- [j3]Ralph Neuneier, Hans-Georg Zimmermann:
Neuro-Fuzzy Methoden in der Finanzanalyse. Künstliche Intell. 10(4): 55-58 (1996) - [c5]Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann:
Early Brain Damage. NIPS 1996: 669-675 - [p1]Ralph Neuneier, Hans-Georg Zimmermann:
How to Train Neural Networks. Neural Networks: Tricks of the Trade 1996: 373-423 - 1995
- [j2]Gustavo Deco, William Finnoff, Hans-Georg Zimmermann:
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks. Neural Comput. 7(1): 86-107 (1995) - [c4]Hans-Georg Zimmermann:
Neural Networks - The Future of Forecasting in Finance? SNN Symposium on Neural Networks 1995: 344-348 - 1993
- [j1]William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann:
Improving model selection by nonconvergent methods. Neural Networks 6(6): 771-783 (1993) - 1992
- [c3]William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann:
Extended Regularization Methods for Nonconvergent Model Selection. NIPS 1992: 228-235
1980 – 1989
- 1989
- [c2]Wolfram Büttner, Ferdinand Hergert, Bernd Schürmann, Hans-Georg Zimmermann:
Grundlagenforschung und Softwareentwicklung im Siemensprojekt "Neurodemonstrator". Wissensbasierte Systeme 1989: 209-226 - 1988
- [c1]Hans-Georg Zimmermann:
Update-Techniken in der Transientenanalyse von elektrischen Netzwerken. Simulationstechnik 1988: 116-121
Coauthor Index
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