NeurApp (Neural Approximator) is a
simple application for exploring approximations based on
artificial neural networks. It is available as freeware.
The users can explore how neural network-based approximations
work by approximating arbitrary functions of one or two
variables. The software has an intuitive graphical user
interface and plotting capabilities that allow quick and clear
interpretation of results.
The system has been designed and developed
by Igor Grešovnik and Tadej Kodelja, and is based on the
Investigative
Generic Library (IGLib). For more information,
check the software home page at
http://www2.arnes.si/~ljc3m2/igor/software/NeurApp/index.html,
or check code documentation at
http://www2.arnes.si/~ljc3m2/igor/software/NeurApp/index.html#doc.
This software depends on a number of external free open source libraries. Authors of the code are grateful to all developers that invested their work to develop these libraries and who made them open and accessible to the public.
The
following external libraries are used:
Please visit
the home pages of these great libraries (just follow the links
above) and consider whether you can support their development in
some way. Check also the license agreements for these referenced
libraries for precise conditions for using the libraries.
Below is the list of authors' synonims used in
the code: