The ability of Artificial Neural Networks to exploit non-linearity by data mining models compared to statistical methods.

Beinsen, Lutz; Brandl, Bernd

The ability of Artificial Neural Networks to exploit non-linearity by data mining models compared to statistical methods.

Beinsen, Lutz; Brandl, Bernd

Authors

Lutz Beinsen

Professor Bernd Brandl bernd.brandl@durham.ac.uk
Professor

Contributors

Ulrike Leopold-Wildburger
Editor

Franz Rendl
Editor

Gerhard Wäscher
Editor

Citation

Beinsen, L., & Brandl, B. (2003). The ability of Artificial Neural Networks to exploit non-linearity by data mining models compared to statistical methods. In U. Leopold-Wildburger, F. Rendl, & G. Wäscher (Eds.), Operations Research Proceedings 2002 (510-515). Springer, Berlin et al

Publication Date	2003
Deposit Date	Jul 15, 2015
Pages	510-515
Book Title	Operations Research Proceedings 2002.
Public URL	https://durham-repository.worktribe.com/output/1675055