HfN - Hopfield Network Demonstration
Download
| xhfn | (111 kb) | GNU/Linux executable |
| whfn.exe | (215 kb) | Windows executable |
| hfnd.zip | (118 kb) | C sources, version 1.5 (2018.10.18) |
| hfnd.tar.gz | (107 kb) |
Description
A program that demonstrates how Hopfield networks can be used as associative memory. With it two-dimensional bit patterns can be stored in and retrieved from a Hopfield network.
Full description of this program (included in the source package).
If you have trouble executing the program on Microsoft Windows, check whether you have the Microsoft Visual C++ Redistributable for Visual Studio 2022 (see under "Other Tools and Frameworks") installed, as the program was compiled with Microsoft Visual Studio 2022.
An introduction to neural networks and Hopfield networks in particular can be found in:
- Computational Intelligence - A Methodological Introduction
Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Georg Ruß, Matthias Steinbrecher and Pascal Held
Springer-Verlag, Berlin/Heidelberg, Germany 2013, ISBN 978-1-4471-5012-1
(488 pages, in English) - Computational Intelligence
Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Georg Ruß, and Matthias Steinbrecher
Vieweg+Teubner Verlag, Wiesbaden, Germany 2011, ISBN 978-3-8348-1275-9
(461 pages, in German) - Neuro-Fuzzy-Systeme -
Von den Grundlagen Neuronaler Netze
zu modernen Fuzzy-Systemen
Detlef Nauck, Christian Borgelt, Frank Klawonn und Rudolf Kruse.
Vieweg-Verlag, Wiesbaden, Germany 2003, ISBN 3-528-25265-0
(448 pages, in German)