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Design of the SNNS Neural Network Simulator

  • Andreas Zell
  • Niels Mache
  • Tilman Sommer
  • Thomas Korb
Part of the Informatik-Fachberichte book series (INFORMATIK, volume 287)

Abstract

SNNS is a neural network simulator for Unix workstations developed at the Universität Stuttgart. It is a tool to generate, train, test and visualize artificial neural networks. The simulator consists of a simulator kernel, a graphical user interface based on X-Windows to interactively construct and visualize neural networks, and a compiler to generate large neural networks from a high level network description language. Applications of SNNS currently include printed character recognition, handwritten character recognition, recognition of machine parts, stock prize prediction, noise reduction in a telecom environment and texture analysis, among others. We also give preliminary design decisions for a planned parallel version of SNNS on a massively parallel SIMD-computer with more than 16,000 processors (MasPar MP-1216) which has been installed at our research institute recently.

Keywords

Connectionism neural networks network simulators network description language 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Andreas Zell
    • 1
  • Niels Mache
    • 1
  • Tilman Sommer
    • 1
  • Thomas Korb
    • 1
  1. 1.Institut für Parallele und Verteilte Höchstleistungsrechner (IPVR)Universität StuttgartStuttgart 80Deutschland

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