CMU Artificial Intelligence Repository
ANSIL: Advanced Network Simulator in Lisp
ANSIL (Advanced Network Simulator in Lisp) is a neural network
simulator written in Lisp. It simulates a kind of neural network
known as a RAAM (Recursive Auto-Associative Memory). RAAMs are
built using a matrix implementation of backpropagation. The Matrix
Backprop Package (MBP), in turn, is built upon a nice set of linear
algebra routines written in Lisp (and C).
Requires: Common Lisp
Copying: Copyright (c) 1991 Peter J. Angeline and Gregory M. Saunders
Use, copying, modification, and distribution permitted.
May not be incorporated into production software or code
which is sold without prior written permission of the authors.
If you're using this software, please send an email
message to the authors. They will keep you informed
about upgrades and additions.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Peter J. Angeline
Gregory M. Saunders
The Ohio State University
Laboratory for Artificial Intelligence Research (LAIR)
Columbus, Ohio, 43210
ANSIL, Authors!Angeline, Authors!Saunders, Backpropagation,
Linear Algebra, Lisp!Code, MBP,
Machine Learning!Neural Networks, Matrices,
Matrix Backpropagation Package, Neural Networks, Pollack,
Documentation is included in the distribution.
Last Web update on Mon Feb 13 10:25:04 1995