This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (August 2024) |
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.
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
editSNNS 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
editThere is currently no ongoing active development of SNNS. In July 2008 the license was changed to the GNU LGPL.
See also
edit
External links
edit- SNNS homepage
- Patches with bugfixes and a Python interface to the SNNS kernel