This seminar covers recent developments in the field of artificial neural networks. Topics for this seminar include among others the Boltzmann Machine and Radial Basis Function Networks.

Betreuer: Prof. Dr. Dr. Lars Schmidt-Thieme und Artus Krohn-Grimberghe

Themen:

0. -- Introduction --
   Perceptrons, Single Layer Neural Networks, and Multilayer Neural Networks
1. Hebbian Learning, Backpropagation, and beyond
2. Radial Basis Function Networks
3. Recurrent Neural Networks / Echo State Networks
4. Self Organizing Maps and Neural Gas
5. The Restricted Boltzmann Machine
6. RatSLAM - Localization and Mapping
7. Time Series Analysis with Neural Networks
8. Neural Networks for Dimensionality Reduction
9. further subjects upon request :-)

Topics may be reserved via email to ( ) .