CMU Artificial Intelligence Repository
NevProp: General purpose backpropagation in C.
NevProp is a C implementation of general purpose backpropagation
software, based on Quickprop 1.0 by Scott Fahlman, as translated from
Common Lisp into C by Terry Regier. The quickprop algorithm itself
has not changed substantially, but it now includes options to force
gradient descent (per-epoch or per-pattern), generalization & stopped
training, c index, and interface enhancements.
Questions and comments regarding the Quickprop algorithm itself should
be directed to Scott Fahlman at firstname.lastname@example.org. Issues pertaining
to NevProp code or functionality itself should be directed to the authors.
as the file npxxx.shar (replace xxx with the version number)
or from the CMU Simulator Collection.
Version: 1.16 (13-JUL-93)
Ports: It runs on Unix, Macintosh, and DOS.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Phil Goodman
David Rosen, Allen Plummer
University of Nevada
Center for Biomedical Modeling Research
Washoe Medical Center, H-166,
77 Pringle Way
Reno, NV 89520
Authors!Fahlman, Authors!Goodman, Authors!Plummer,
Authors!Rosen, Backpropagation, C!Code, Gradient Descent,
Machine Learning!Neural Networks, Neural Networks, NevProp,
The algorithm and some test results are described in Fahlman's paper
"Faster-Learning Variations on Back-Propagation: An Empirical Study"
in Proceedings of 1988 Connectionist Models Summer School, published
by Morgan Kaufmann.
Last Web update on Mon Feb 13 10:25:29 1995