JETNET 3.0-A versatile artificial neural network package

Carsten Peterson; Thorsteinn Rögnvaldsson; Leif Lönnblad

doi:10.1016/0010-4655(94)90120-1

JETNET 3.0-A versatile artificial neural network package

Carsten Peterson, Thorsteinn Rögnvaldsson, Leif Lönnblad

Research output: Contribution to journal › Article › peer-review

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 of guidelines for when to use the different options.

Original language	English
Pages (from-to)	185-220
Number of pages	36
Journal	Computer Physics Communications
Volume	81
Issue number	1-2
DOIs	https://doi.org/10.1016/0010-4655(94)90120-1
Publication status	Published - 1994 Jun

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Subatomic Physics

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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 of guidelines for when to use the different options.",

author = "Carsten Peterson and Thorsteinn R{\"o}gnvaldsson and Leif L{\"o}nnblad",

year = "1994",

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AB - 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 of guidelines for when to use the different options.

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JETNET 3.0-A versatile artificial neural network package

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