Artificial Neural Networks in High Energy Physics

We try to provide here a central source of information on applications of neural network techniques to experimental high energy physics. A great amount of work has been done by many people in this area, particularly in applying NNW software to off-line analysis and NNW hardware to on-line data selection. We include a list of references, descriptions of NNW hardware and software, status of NNW's in HEP experiments, current developments, etc.

If you would like to contribute announcements, papers, programs, etc. to this page, please contact:
Clark S. Lindsey (lindsey@particle.kth.se) ,
Bruce Denby (Bruce.DENBY@cetp.ipsl.fr), or
Thomas Lindblad (lindblad@particle.kth.se).


Latest revision: 2 May 2002 
News and Recent Additions 
There are several HEP experiments that have used NNW hardware or will use it in the near future. Here are brief status reports on some these projects.
NNW in Experiments 
Conferences

AIHEP Workshop Series and Newsgroup 
NNW in HEP References

NNW Hardware 
NNW Software

See the Java demo of tracking with the elastic net fitting method by the NEMO software group at Dubna, Russia. See also their Traveling Salesman Problem.


NNW Sources
HEP Sources

 

Authors: Clark S. Lindsey , Bruce Denby , & Thomas Lindblad

Curator: Clark S. Lindsey (lindsey@particle.kth.se)