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Number of items: 6.

Hirschen, Kai and Schäfer, Michael (2006):
Bayesian regularization Neural Networks for optimizing fluid flow processes.
In: Computer Methods in Applied Mechanics and Engineering, pp. 481-500, 195, (7/8), [Article]

Hirschen, Kai and Schäfer, Michael (2006):
A study on Evolutionary Multi-objective Optimization for Flow Geometry Design.
In: Computational mechanics, pp. 131-141, 37, (2), [Article]

Schmid, Florian and Hirschen, Kai and Meynen, Sebastian and Schäfer, Michael (2005):
An Enhanced Approach For Shape Optimization Using An Adaptive Algorithm.
In: Finite Elements in Analysis and Design, pp. 521-543, 41, [Article]

Hirschen, Kai (2004):
Soft Computing Methods for Applied Shape Optimization.
Darmstadt, Technische Universität, TU Darmstadt, [Online-Edition: urn:nbn:de:tuda-tuprints-4996],
[Ph.D. Thesis]

Hirschen, Kai and Schäfer, Michael (2004):
Adaptive neuro-fuzzy inference systems for shape optimization problems in CFD.
In: ECCOMAS <4, 2004, Jyväskylä>: Conference proceedings ..., [Conference or Workshop Item]

Hirschen, Kai and Schäfer, Michael (2004):
Artificial neural networks for shape optimization in CFD.
In: ERCOFTAC design optimization : methods and applications ; conference proceedings, Athens, Greece, [Conference or Workshop Item]

This list was generated on Tue Nov 12 02:12:16 2019 CET.