JETNET 3.0—A versatile artificial neural network package

Published: 1 January 1994| Version 1 | DOI: 10.17632/dkr3cpvf82.1
Carsten Peterson, Thorsteinn Rögnvaldsson, Leif Lönnblad


Abstract An F77 package for feed-forward artificial neural network data processing, JETNET 3.0, is presented. It represents a substantial extension and generalization of an earlier release, JETNET 2.0. The package, which consists of a set of subroutines, is focused on multilayer perceptron architectures. As compared to earlier versions it contains a variety of minimization options, measures for monitoring the learning process, limited precision emulation, etc. Also, the reader is provided with a set o... Title of program: JETNET VERSION 3.0 Catalogue Id: ACGV_v2_0 [ACTP] Nature of problem Challenging pattern recognition and non-linear modelling problems within high energy physics, ranging from off-line and on-line parton (or other constituent) identification tasks to accelerator beam control. Standard methods for such problems are typically confined to linear dependencies like Fischer discriminants, principal components analysis and ARMA models. Versions of this program held in the CPC repository in Mendeley Data ACGV_v1_0; JETNET 2.0; 10.1016/0010-4655(92)90099-K ACGV_v2_0; JETNET VERSION 3.0; 10.1016/0010-4655(94)90120-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computer Hardware, Software, Programming Language, Computational Physics, Elementary Particle