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SNNS (Stuttgart Neural Network Simulator)

  • Chapter
Neural Network Simulation Environments

Part of the book series: The Kluwer International Series in Engineering and Computer Science ((SECS,volume 254))

Abstract

We here describe SNNS, a neural network simulator for Unix workstations that has been developed at the University of Stuttgart, Germany. Our network simulation environment is a tool to generate, train, test, and visualize artificial neural networks. The simulator consists of three major components: a simulator kernel that operates on the internal representation of the neural networks, a graphical user interface based on X-Windows to interactively create, modify and visualize neural nets, and a compiler to generate large neural networks from a high level network description language.

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Author information

Authors and Affiliations

  1. University of Stuttgart, Institute for Parallel and Distributed High Performance Systems (IPVR), Breitwiesenstr. 20-22, D-7000, Stuttgart 80, Germany

    Andreas Zell, Niels Mache, Ralf Hübner, Günter Mamier, Michael Vogt, Michael Schmalzl & Kai-Uwe Herrmann

Authors
  1. Andreas Zell
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  2. Niels Mache
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  3. Ralf Hübner
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  4. Günter Mamier
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  5. Michael Vogt
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  6. Michael Schmalzl
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  7. Kai-Uwe Herrmann
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Editor information

Editors and Affiliations

  1. University of California, Los Angeles, USA

    Josef Skrzypek

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© 1994 Springer Science+Business Media New York

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Zell, A. et al. (1994). SNNS (Stuttgart Neural Network Simulator). In: Skrzypek, J. (eds) Neural Network Simulation Environments. The Kluwer International Series in Engineering and Computer Science, vol 254. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2736-7_9

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  • DOI: https://doi.org/10.1007/978-1-4615-2736-7_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6180-0

  • Online ISBN: 978-1-4615-2736-7

  • eBook Packages: Springer Book Archive

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