SNNS
{{Short description|Neural Network Simulator}}
{{No footnotes|article|date=August 2024}}
{{Infobox software
| name = Stuttgart Neural Network Simulator
| screenshot = 250px
| caption = Demonstration of the Stuttgart Neural Network Simulator
| collapsible = yes
| developer = University of Stuttgart
| latest release version = 4.3
| latest release date = {{release date|2008|07|06}}
| latest preview version =
| latest preview date =
| operating system = Cross-platform
| programming language = C
| genre = 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{{Citation needed|date=September 2018}}. Its successor JavaNNS never reached the same popularity.
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
{{Portal|Free and open-source software}}
External links
- [http://www.ra.cs.uni-tuebingen.de/SNNS/welcome.html SNNS homepage]
- [https://sourceforge.net/p/snns/home/Home/ Patches with bugfixes] and a Python interface to the SNNS kernel
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