SNNS
| Stuttgart Neural Network Simulator | |
|---|---|
Screenshot  Demonstration of the Stuttgart Neural Network Simulator | |
| Developer | University of Stuttgart |
| Stable release | 4.3
/ July 6, 2008 |
| Written in | C |
| Operating system | Cross-platform |
| Type | Neural network software |
| License | GNU LGPL |
| Website | http://www.ra.cs.uni-tuebingen.de/SNNS/welcome.html |
SNNS (Stuttgart Neural Network Simulator) is a neural network simulator originally developed at the University of Stuttgart. While it was originally built for X11 under Unix, there are Windows ports[1]. Its successor JavaNNS never reached the same popularity.
Features
[edit]SNNS is written around a simulation kernel to which user written activation functions, learning procedures and output functions can be added. It has support for arbitrary network topologies and the standard release contains support for a number of standard neural network architectures and training algorithms.
Status
[edit]In July 2008 the license was changed to the GNU LGPL. As of 10 October 2026, there is no active development, and the University of Tübingen has ceased maintainence of SNNS.[2]
See also
[edit]
External links
[edit]- SNNS homepage
- Patches with bugfixes and a Python interface to the SNNS kernel
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- ↑ Bergmeir, Christoph; Benítez, José M.; team), Andreas Zell (Part of original SNNS development; team), Niels Mache (Part of original SNNS development; team), Günter Mamier (Part of original SNNS development; team), Michael Vogt (Part of original SNNS development; team), Sven Döring (Part of original SNNS development; team), Ralf Hübner (Part of original SNNS development; team), Kai-Uwe Herrmann (Part of original SNNS development) (2026-01-30), RSNNS: Neural Networks using the Stuttgart Neural Network Simulator (SNNS), retrieved 2026-10-14
- ↑ "SNNS- Stuttgart Neural Network Simulator". www.cogsys.cs.uni-tuebingen.de. Retrieved 2026-10-14.
