webmaster: Sven F. Crone
Centre for Forecasting Lancaster University Management School Lancaster LA1 4YF United Kingdom Tel +44.1524.592991 Fax +44.1524.844885 eMail sven dot crone (at) neural-forecasting dot com | |
Neural Network Software for Research Purposes
Software for reserach purposes differs from teh application oriented
perspective of users. Issues of automatic model selction , data integration,
scalability and automation in gerenal are less important in comparison to
enhanced degrees of freedom in parametr selection, integration of individual
source code and add-ons.
Commercial Software
The MathWorks - Neural Network Toolbox |
This toolbox provides a complete set of functions and a
graphical user interface for the design, implementation,
visualization, and simulation of neural networks. It
supports the most commonly used supervised and
unsupervised network architectures and a comprehensive
set of training and learning functions |
http://www.mathworks.com/products/neuralnet/ |
BNJ - Bayesian Network tools in Java |
The Kansas State University Laboratory for Knowledge
Discovery in Databases is pleased to announce release of
Bayesian Network Tools in Java. BNJ is an open-source
suite of Java tools for research and applications
development in probabilistic reasoning.
|
http://bndev.sourceforge.net |
NeuroShell Engine |
The NeuroShell Engine is an Active X control which can
be utilized in modern compilers like Microsoft Visual
Basic and Microsoft Visual C++. The control can be added
to a program just as other controls are added, like
combo boxes and text boxes. |
http://www.wardsystems.com/ |
Simulator for Neural Networks and Action Potentials |
SNNAP -- Simulator for Neural Networks and Action
Potentials is a tool for rapid development and
simulation of realistic models of single neurons and
small neural networks. It includes mathematical
descriptions of ion currents and intracellular second
messengers and ions. In addition, you can simulate
current flow in multicompartment models of neurons by
using the equations describing electric coupling. |
http://snnap.uth.tmc.edu/index.htm |
SIMBRAIN |
SIMBRAIN is a freeware tool for building, runnning, and
analyzing neural-networks (computer simulations of brain
circuitry). Simbrain aims to be as visual and
easy-to-use as possible. Also unique are its integrated
"world component" and its representation of the
network's activation space. Simbrain is written in Java
and runs on Windows, Mac OS X, and Linux. |
http://simbrain.sourceforge.net/ |
FANN (Fast Artificial Neural Network Library)
|
FANN Library is written in in ANSI C. The library
implements multilayer feedforward ANNs, up to 150 times
faster than other libraries. Fann supports execution in
fixed point, for fast execution on systems like the iPAQ. |
http://sourceforge.net/projects/fann/ |
|
NNDef - Toolkit |
A free and modular package for defining and
executing Neural Networks. This tool offers you
the best possible method for exchanging Networks
definitions. |
http://www.makhfi.com/nndef.htm |
|
Public Domain Software
Stuttgart
Neural Network Simulator |
SNNS
(Stuttgart Neural Network Simulator) is a software simulator for neural
networks on Unix workstations developed at the Institute for Parallel
and Distributed High Performance Systems (IPVR) at the University of
Stuttgart. The goal of the SNNS project is to create an efficient and
flexible simulation environment for research on and application of
neural nets. |
http://www-ra.informatik.uni-tuebingen.de/SNNS/announce.html |
Joone Object
Oriented Neural Engine |
Joone is a
neural net framework written in Java. It's composed by a core engine, a
GUI editor and a distributed training environment. Joone can be extended
writing new modules to implement new algorithms or new architectures
starting from base components. |
http://www.jooneworld.com/ |
EasyNN-plus |
EasyNN-plus
is a neural network software system for Microsoft Windows based on
EasyNN that can generate multi-layer neural networks from imported files
or grids with minimal user intervention.
Neural networks produced by EasyNN-plus can be used for data analysis,
prediction, forecasting, classification and time series projection.
|
http://www.easynn.com/ |
|