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

Lönnblad, Leif LU orcid ; Peterson, Carsten LU and Rögnvalsson, Thorsteinn (1992) In Computer Physics Communications 70(1). p.167-182
Abstract

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.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Computer Physics Communications
volume
70
issue
1
pages
16 pages
publisher
Elsevier
external identifiers
  • scopus:0026869727
ISSN
0010-4655
DOI
10.1016/0010-4655(92)90099-K
language
English
LU publication?
yes
id
bbfdccbb-25de-4856-adcf-79fa38fbe087
date added to LUP
2019-05-15 08:02:15
date last changed
2024-02-08 14:24:13
@article{bbfdccbb-25de-4856-adcf-79fa38fbe087,
  abstract     = {{<p>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.</p>}},
  author       = {{Lönnblad, Leif and Peterson, Carsten and Rögnvalsson, Thorsteinn}},
  issn         = {{0010-4655}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{167--182}},
  publisher    = {{Elsevier}},
  series       = {{Computer Physics Communications}},
  title        = {{Pattern recognition in high energy physics with artificial neural networks - JETNET 2.0}},
  url          = {{http://dx.doi.org/10.1016/0010-4655(92)90099-K}},
  doi          = {{10.1016/0010-4655(92)90099-K}},
  volume       = {{70}},
  year         = {{1992}},
}