SNNS
Neural Network Simulator From Wikipedia, the free encyclopedia
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[citation needed]. Its successor JavaNNS never reached the same popularity.
 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (August 2024) |
Screenshot Demonstration of the Stuttgart Neural Network Simulator | |
| Developer(s) | 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 |
Features
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
There is currently no ongoing active development of SNNS. In July 2008 the license was changed to the GNU LGPL.
See also
External links
- SNNS homepage
- Patches with bugfixes and a Python interface to the SNNS kernel
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