Artificial Neural Networks
This lecture is given during the winter term. It presents standard
algorithms and new developments of Artificial Neural Networks, their
functioning, application domains, and connections to more conventional
mathematical methods. Examples show the potential and limitations of
the methods. Supervised as well as unsupervised learning methods are
introduced.
Literature
- Lecture notes by Christian Goerick (in German)
- C. M. Bishop, Neural Networks for Pattern Recognition, 1995 Clarendon Press, Oxford.
This document is maintained by
Rolf P. Würtz,
rolf.wuertz@neuroinformatik.ruhr-uni-bochum.de
Last modification on: 2007-03-01