SNNS
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. 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
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.
gollark: If you need a scripting language just bind Lua.
gollark: DO NOT.
gollark: I just need to store "unresolved labels", swap out the addresses when the label is found, and error if there are unresolved ones at the end.
gollark: Yes, it is.
gollark: Hmm, I think I can actually do this in one pass(ish) with some *mild* eldritch horrors.
External links
- SNNS homepage
- Patches with bugfixes and a Python interface to the SNNS kernel
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