Hans-Georg Zimmermann - researchr alias

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Viewing Publication 1 - 39 from 39

2020

On Error Correction Neural Networks for Economic ForecastingMhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann. fusion 2020: 1-8 [doi]

Handling missing data in recurrent neural networks for air quality forecastingMichel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann. esann 2020: 351-356 [doi]

2012

Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding ProblemAlexey Minin, Alois Knoll, Hans-Georg Zimmermann. esann 2012: [doi]

How to Train Neural NetworksRalph Neuneier, Hans-Georg Zimmermann. In Grégoire Montavon, Genevieve B. Orr, Klaus-Robert Müller, editors, Neural Networks: Tricks of the Trade - Second Edition. Volume 7700 of Lecture Notes in Computer Science, pages 369-418, Springer, 2012. [doi]

Forecasting with Recurrent Neural Networks: 12 TricksHans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann. In Grégoire Montavon, Genevieve B. Orr, Klaus-Robert Müller, editors, Neural Networks: Tricks of the Trade - Second Edition. Volume 7700 of Lecture Notes in Computer Science, pages 687-707, Springer, 2012. [doi]

Recurrent Neural Networks for Industrial Procurement DecisionsHans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann, Thomas A. Runkler. ki, 26(4):403-406, 2012. [doi]

2011

Historical Consistent Complex Valued Recurrent Neural NetworkHans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva. icann 2011: 185-192 [doi]

Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search AlgorithmsHans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva. esann 2011: [doi]

Forecasting Market Prices with Causal-Retro-Causal Neural NetworksHans-Georg Zimmermann, Ralph Grothmann, Christoph Tietz. or 2012: 579-584 [doi]

2010

Market Modeling, Forecasting and Risk Analysis with Historical Consistent Neural NetworksHans-Georg Zimmermann, Ralph Grothmann, Christoph Tietz, Holger von Jouanne-Diedrich. or 2011: 531-536 [doi]

2008

Learning long-term dependencies with recurrent neural networksAnton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann. ijon, 71(13-15):2481-2488, 2008. [doi]

2007

Recurrent Neural Networks are Universal approximatorsAnton Maximilian Schäfer, Hans-Georg Zimmermann. IJNS, 17(4):253-263, 2007. [doi]

The Recurrent Control Neural NetworkAnton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann. esann 2007: 319-324 [doi]

2006

Recurrent Neural Networks Are Universal ApproximatorsAnton Maximilian Schäfer, Hans-Georg Zimmermann. icann 2006: 632-640 [doi]

Learning Long Term Dependencies with Recurrent Neural NetworksAnton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann. icann 2006: 71-80 [doi]

A Technical Trading Indicator Based on Dynamical Consistent Neural NetworksHans-Georg Zimmermann, Lorenzo Bertolini, Ralph Grothmann, Anton Maximilian Schäfer, Christoph Tietz. icann (empty year): 654-663 [doi]

2005

Optimal asset allocation for a large number of investment opportunitiesHans-Georg Zimmermann, Ralph Grothmann. isafm, 13(1):33-40, 2005. [doi]

2002

Segmental duration control by time delay neural networks with asymmetric causal and retro-causal information flowsCaglayan Erden, Hans-Georg Zimmermann. esann 2002: 269-274

Undershooting: modeling dynamical systems by time grid refinementsHans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann. esann 2002: 395-400

Yield curve forecasting by error correction neural networks and partial learningHans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann. esann 2002: 407-412

A data-driven method for input feature selection within neural prosody generationÇaglayan Erdem, Hans-Georg Zimmermann. icassp 2002: 477-480 [doi]

2001

A multi-lingual system for the determination of phonetic word stress using soft feature selection by neural networksHorst-Udo Hain, Hans-Georg Zimmermann. ssw 2001: 120 [doi]

Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context LengthAchim F. Müller, Hans-Georg Zimmermann. icann 2001: 57-64 [doi]

Active Portfolio-Management based on Error Correction Neural NetworksHans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann. nips 2001: 1465-1472 [doi]

Multi-agent FX-Market Modeling Based on Cognitive SystemsHans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann. icann 2001: 767-774 [doi]

Multi-agent modeling of multiple FX-markets by neural networksHans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann. tnn, 12(4):735-743, 2001. [doi]

Segmental duration control with asymmetric causal retro-causal neural networksÇaglayan Erdem, Hans-Georg Zimmermann. ssw 2001: 119 [doi]

2000

Robust generation of symbolic prosody by a neural classifier based on autoassociatorsAchim F. Müller, Hans-Georg Zimmermann, Ralph Neuneier. icassp 2000: 1285-1288 [doi]

Modeling of the German Yield Curve by Error Correction Neural NetworksHans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann. ideal 2000: 262-267 [doi]

1997

The Observer-Observation Dilemma in Neuro-ForecastingHans-Georg Zimmermann, Ralph Neuneier. nips 1998: 992-998

1996

Neuro-Fuzzy Methoden in der FinanzanalyseRalph Neuneier, Hans-Georg Zimmermann. ki, 10(4):55-58, 1996.

How to Train Neural NetworksRalph Neuneier, Hans-Georg Zimmermann. nips 1998: 373-423 [doi]

Early Brain DamageVolker Tresp, Ralph Neuneier, Hans-Georg Zimmermann. nips 1997: 669-675 [doi]

1995

Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer NetworksGustavo Deco, William Finnoff, Hans-Georg Zimmermann. neco, 7(1):86-107, 1995. [doi]

Neural Networks - The Future of Forecasting in Finance?Hans-Georg Zimmermann. snn 1995: 344-348 [doi]

1993

Improving model selection by nonconvergent methodsWilliam Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann. NN, 6(6):771-783, 1993. [doi]

1992

Extended Regularization Methods for Nonconvergent Model SelectionWilliam Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann. nips 1993: 228-235 [doi]

1989

Grundlagenforschung und Softwareentwicklung im Siemensprojekt Neurodemonstrator Wolfram Büttner, Ferdinand Hergert, Bernd Schürmann, Hans-Georg Zimmermann. wi 1989: 209-226

1988

Update-Techniken in der Transientenanalyse von elektrischen NetzwerkenHans-Georg Zimmermann. simulationstechnik 1988: 116-121

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