PARTICLE SEARCHES WITH NEURAL NETS

Georg Stimpfl-Abele ()
Additional contact information
Georg Stimpfl-Abele: Departament Estructura i Constituents Matèria, Universitat de Barcelona E-08028 Barcelona, Spain

International Journal of Modern Physics C (IJMPC), 1995, vol. 06, issue 04, 591-598

Abstract: The efficiency and robustness of neural feed-forward nets in particle searches is studied using the search for the Standard Higgs Boson at LEP-200 as an example. Methods to select the most efficient variables, to define standard cuts, and to recognize significant differences between the training-data sample and a test-data sample are presented. The efficiencies of the neural nets are significantly better than those of standard methods.

Date: 1995
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183195000484
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:06:y:1995:i:04:n:s0129183195000484

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183195000484

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().