Leif Lönnblad
Professor
Pattern recognition in high energy physics with artificial neural networks - JETNET 2.0
Author
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.
Department/s
- Department of Astronomy and Theoretical Physics - Has been reorganised
Publishing year
1992-05
Language
English
Pages
167-182
Publication/Series
Computer Physics Communications
Volume
70
Issue
1
Document type
Journal article
Publisher
Elsevier
Topic
- Subatomic Physics
Status
Published
ISBN/ISSN/Other
- ISSN: 0010-4655