Abstract
SNNS is a neural network simulator for Unix workstations developed at the Universität Stuttgart. It 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.
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Zell, A., Mache, N., Sommer, T., Korb, T. (1991). The SNNS Neural Network Simulator. In: Radig, B. (eds) Mustererkennung 1991. Informatik-Fachberichte, vol 290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08896-8_60
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DOI: https://doi.org/10.1007/978-3-662-08896-8_60
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