Michael Hüsken

Strategies and Benefits of Fusion of 2D and 3D Face Recognition

Christoph von der Malsburg, Stefan Gehlen, Michael Brauckmann, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Evolution und Lernen zur Optimierung neuronaler Strukturen

Michael Hüsken, Michael Hüsken, 2003 .

Task-dependent evolution of modularity in neural networks

Marc Toussaint, Christian Igel, Michael Hüsken, 2002 .

Neural Networks for Fitness Approximation in Evolutionary Optimization

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2005 .

Empirical evaluation of the improved Rprop learning algorithms

Christian Igel, Michael Hüsken, C. Igel, 2003, Neurocomputing.

Fast learning for problem classes using knowledge based network initialization

Christian Goerick, Michael Hüsken, Michael Hüsken, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Balancing Learning And Evolution

Christian Igel, Michael Hüsken, 2002, GECCO.

Adjusting device for adjusting the rotation angle position of the rotor of a wind turbine

Markus Becker, Michael Hüsken, Ulf Nosthoff, 2008 .

Improving the Rprop Learning Algorithm

Christian Igel, Michael Hüsken, C. Igel, 2000 .

Structure optimization of neural networks for evolutionary design optimization

Bernhard Sendhoff, Yaochu Jin, Michael Hüsken, 2005, Soft Comput..

Recurrent neural networks for time series classification

Peter Stagge, Michael Hüsken, Michael Hüsken, 2003, Neurocomputing.

Evolutionary Optimization for Problem Classes with Lamarckian Inheritance

Bernhard Sendhoff, Michael Hüsken, B. Sendhoff, 2000 .

Derandomized Evolution Strategies in Computational Neuroscience

Christian Igel, Hubert R. Dinse, Marc Nunkesser, 2007 .