snns(1) snns(1)
SNNS SNNS
NAME
snns - neural network simulation package SNNS
SYNOPSIS
xgui [options]
batchman [options]
snns2c [options]
DESCRIPTION
SNNS (Stuttgart Neural Network Simulator) is a simulator for neural
networks developed at the Institute for Parallel and Distributed High
Performance Systems, at the University of Stuttgart since 1989. The
goal of the project is to create an efficient and flexible simulation
environment for research on and application of neural nets.
The SNNS simulator consists of four main components: Simulator kernel,
graphical user interface, batch execution interface batchman(1), and
network compiler snns2c(1). The simulator kernel operates on the
internal network data structures of the neural nets and performs all
operations on them. The graphical user interface xgui(1), built on top
of the kernel, gives a graphical representation of the neural networks
and controls the kernel during the simulation run. In addition, the
user interface can be used to directly create, manipulate and
visualize neural nets in various ways. Complex networks can be
created quickly and easily. Nevertheless, XGUI should also be well
suited for unexperienced users, who want to learn about connectionist
models with the help of the simulator. An online help system, partly
context-sensitive, is integrated, which can offer assistance with
problems.
An important design concept was to enable the user to select only
those aspects of the visual representation of the net in which he is
interested. This includes depicting several aspects and parts of the
network with multiple windows as well as suppressing unwanted
information.
COMPATIBILITY
Machines and operating systems on which SNNS has been tested
SUN SparcStation SunOS 4.1.2 - 5.2.6 DECstation
Ultrix V4.2 DEC Alpha OSF1 V2.1 - V4.0 IBM-PC
80486, Pentium Linux, NeXTStep IBM RS 6000
AIX V3.1 - V4.1 HP 9000 HP-UX 8.07 - 10.20,
- 1 - Formatted: April 26, 2024
snns(1) snns(1)
SNNS SNNS
NeXTStep SGI Indigo 2 IRIX 4.0.5 - 6.2 NeXTStation
NeXTStep
SEE ALSO
The SNNS user manual under the SNNS installation directory or the
hypertext manual at http://www-ra.informatik.uni-
tuebingen.de/SNNS/snns.info
xgui(1) the SNNS graphical user interface
batchman(1) batch execution interface for SNNS
snns2c(1) compiler to transform a trained neural network into a C-
routine
isnns(1) interactiv, on the fly neural network training for SNNS
analyze(1) analyzes result files generated by SNNS to test the
classification
convert2snns(1) pattern conversion tool for Kohonen Networks
feedback-gennet(1) generator for network definition files
ff_bignet(1) complex feedforward network generator
linknets(1) connects two or more SNNS network files into one big net
mkhead(1) writes SNNS pattern file header to stdout
mkout(1) writes SNNS output pattern to stdout
mkpat(1) reads 8 bit rawfile and writes SNNS pattern file to stdout
netlearn(1) backpropagation test program
netperf(1) benchmark program
pat_sel(1) produces pattern file with selected patterns
td_bignet(1) time-delay network generator
COPYRIGHT
SNNS group of Prof. Dr. Andreas Zell, Eberhard-Karls-Universitaet
Tuebingen, Koestlinstr. 6, 72074 Tuebingen, Germany, e-mail:
zell@informatik.uni-tuebingen.de
- 2 - Formatted: April 26, 2024
snns(1) snns(1)
SNNS SNNS
BUGS
None. There are only features.
Its also a feature, that some of the man pages are not implemented
yet.
AUTHOR
Guenter W. Mamier
- 3 - Formatted: April 26, 2024
