Carsten Peterson
Expert
Pattern recognition in high energy physics with artificial neural networks - JETNET 2.0
Författare
Summary, in English
A F77 package of adaptive artificial neural network algorithms, JETNET 2.0, is presented. Its primary target is the high energy physics community, but it is general enough to be used in any pattern-recognition application area. The basic ingredients are the multilayer perceptron back-propagation algorithm and the topological self-organizing map. The package consists of a set of subroutines, which can either be used with standard options or be easily modified to host alternative architectures and procedures.
Avdelning/ar
- Institutionen för astronomi och teoretisk fysik - Har omorganiserats
Publiceringsår
1992-05
Språk
Engelska
Sidor
167-182
Publikation/Tidskrift/Serie
Computer Physics Communications
Volym
70
Issue
1
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Subatomic Physics
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0010-4655