CMU Artificial Intelligence Repository
XERION: Neural network simulator
areas/neural/systems/xerion/
XERION is a neural network simulator from Drew van Camp at the
University of Toronto. It provides a library of routines for building
networks and graphically displaying them. Example simulators include
Backpropagation, Recurrent Backpropagation, Boltzmann Machine, Mean
Field Theory, Free Energy Manipulation, Kohonnen Net, and Hard and
Soft Competitive Learning.
See also SCIAM, a little program that contains the basic kernel which
was published in the September 1992 issue of Scientific American.
See Also:
areas/neural/systems/sciam/
Origin:
ai.toronto.edu:/pub/xerion/
Version: 3.1.147
Requires: C, X Windows (X11R4, X11R5)
Ports: Xerion runs on SGI Personal Iris, SGI 4d, Sun3 (SunOS),
Sun4 (SunOS), DEC 5000 (Ultrix), DEC Alpha (OSF/1),
HP 730 (HP-UX 8.07)
Copying: Copyright (c) 1990-93 by University of Toronto
Use, copying, modification, and distribution permitted.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Bug Reports: xerion-bugs@ai.toronto.edu
Mailing List: To be added to the mailing list, send mail to
xerion-request@ai.toronto.edu.
Author(s): Drew van Camp (Xerion)
Tony Plate (Xerion)
Geoffrey Hinton (Xerion)
Evan Steeg (bm, mft, fem modules)
Sue Becker (hcl, scl, kcl modules)
Brion Dolenko, Univ. of Manitoba (cascade correlation module)
Dept. of Computer Science
University of Toronto
6 Kings College Road
Toronto, Ontario
CANADA M5S 1A4
Fax: (416) 978-1455
Tel: (416) 978-7403
Contact: xerion@ai.toronto.edu
Keywords:
Authors!Becker, Authors!Dolenko, Authors!Hinton,
Authors!Plate, Authors!Steeg, Authors!van Camp,
Backpropagation, Boltzmann Machine, C!Code,
Cascade Correlation, Free Energy Manipulation,
Hard Competitive Learning, Kohonnen Net,
Machine Learning!Neural Networks, Mean Field Theory,
Neural Networks!Simulators, Recurrent Backpropagation,
Soft Competitive Learning, Univ. of Toronto, Visualization,
XERION
References: ?
Last Web update on Mon Feb 13 10:25:49 1995
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