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NevProp: General purpose backpropagation in C.

areas/neural/systems/nevprop/
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 sef+@cs.cmu.edu. Issues pertaining to NevProp code or functionality itself should be directed to the authors.
Origin:   

   unssun.scs.unr.edu:/pub/goodman/nevpropdir/ [134.197.10.128]
   as the file npxxx.shar (replace xxx with the version number)
   or from the CMU Simulator Collection.

Version: 1.16 (13-JUL-93) Requires: C 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 Tel: 702-328-4867 Fax: 702-328-4111 Keywords: Authors!Fahlman, Authors!Goodman, Authors!Plummer, Authors!Rosen, Backpropagation, C!Code, Gradient Descent, Machine Learning!Neural Networks, Neural Networks, NevProp, Quickprop References: 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.
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