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Profile picture of Leif Lönnblad. Photo.

Leif Lönnblad

Professor of Theoretical Physics

Profile picture of Leif Lönnblad. Photo.

Pattern recognition in high energy physics with artificial neural networks - JETNET 2.0

Author

  • Leif Lönnblad
  • Carsten Peterson
  • Thorsteinn Rögnvalsson

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

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