CMU Artificial Intelligence Repository
ALN: Atree Adaptive Logic Network Simulation Package
Atree Adaptive Logic Network (ALN) is a neural network simulation package.
It includes an impressive OCR demo.
If interested in the commercial version (version 3.0), contact W. W.
Armstrong, President, Dendronic Decisions Limited, 3624 - 108 Street,
Edmonton, Alberta, Canada, T6J 1B4, phone/fax 403-438-8285, or email
Version: 2.7 (IBM PC), 2.0 (UNIX)
Ports: IBM PC (Windows 3.x), UNIX (includes ports to Macintosh
Copying: Copyright (C) 1991 by A. Dwelly, R. Manderscheid, W.W. Armstrong.
Use, copying, and modification permitted for non-commercial
purposes only. (See the file 'nowarranty' for details.)
Updated: Thu Oct 6 16:30:01 1994
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Mailing List: email@example.com
To subscribe, send mail to firstname.lastname@example.org.
Author(s): Prof. William W. Armstrong
Computing Science Department
University of Alberta
Edmonton, Alberta, Canada T6G 2H1
ALN, ATREE, Adaptive Logic Networks, Authors!Armstrong,
C!Code, C++!Code, Machine Learning!Neural Networks,
Neural Networks, OCR
W. Armstrong, Adaptive Boolean Logic Element, U. S. Patent 3934231,
Feb. 28, 1974 (filings in various countries), assigned to Dendronic
Decisions Limited, 3624 - 108 Street, Edmonton, Alberta, T6J 1B4, Tel.
(403) 438-1103. N. B. EXPIRED JANUARY 1993, THUS PUTTING DESIGNS FOR
HIGH-SPEED ALN ADAPTIVE HARDWARE INTO THE PUBLIC DOMAIN.
G. v. Bochmann, W. Armstrong, Properties of Boolean Functions
with a Tree Decomposition, BIT 13, 1974. pp. 1-13.
W. Armstrong, Gilles Godbout: Use of Boolean Tree Functions to Perform
High-Speed Pattern Classification and Related Tasks, Dept. d'IRO,
Universite de Montreal, Doc. de Travail #53, 1974. (unpublished,
except in summary form as follows:)
W. Armstrong and G. Godbout, Properties of Binary Trees
of Flexible Elements Useful in Pattern Recognition, IEEE 1975
International Conf. on Cybernetics and Society, San Francisco, 1975,
IEEE Cat. No. 75 CHO 997-7 SMC, pp. 447-449.
W. Armstrong and J. Gecsei, Architecture of a Tree-based
Image Processor, 12th Asilomar Conf. on Circuits, Systems
and Computers, Pacific Grove, Calif., 1978, pp. 345-349.
W. Armstrong and J. Gecsei, Adaptation Algorithms for
Binary Tree Networks, IEEE Trans. on Systems, Man and
Cybernetics, 9, 1979, pp. 276-285.
W. Armstrong, J.-D. Liang, D. Lin, S. Reynolds, Experiments Using
Parsimonious Adaptive Logic, Tech. Rept. TR 90-30, Department of
Computing Science, University of Alberta, Edmonton, Alberta, Canada,
T6G 2H1. This is now available in a revised form via anonymous FTP
from menaik.cs.ualberta.ca [184.108.40.206] in pub/atree/atree2.ps.Z (the
title of the revised document is Some Results concerning Adaptive
W. Armstrong, A. Dwelly, J.-D. Liang, D. Lin, S. Reynolds, Learning
and Generalization in Adaptive Logic Networks, in Artificial Neural
Networks, Proceedings of the 1991 International Conference on
Artificial Neural Networks ( ICANN'91), Espoo, Finland, June 24-28,
1991, T. Kohonen, K.Makisara, O. Simula, J. Kangas eds. Elsevier
Science Publishing Co. Inc. N. Y. 1991, vol. 2, pp. 1173-1176.
Allen G. Supynuk, William W. Armstrong, Adaptive Logic Networks and
Robot Control, Proc. Vision Interface Conference '92, also called
AI/VI/GI '92, Vancouver B. C., May 11-15, 1992, pp. 181 - 186.
R. B. Stein, A. Kostov, M. Belanger, W. W. Armstrong and D. B.
Popovic, Methods to Control Functional Electrical Stimulation in
Walking, First International FES Symposium, Sendai, Japan, July 23 -
25, 1992, pp. 135 - 140.
Aleksandar Kostov, Richard B. Stein, William W. Armstrong, Monroe
Thomas, Evaluation of Adaptive Logic Networks for Control of Walking
in Paralyzed Patients, 14th Ann. Int'l Conf. IEEE Engineering in
Medicine and Biology Society, Paris, France, Oct. 29 - Nov. 1, 1992
vol.4, pp. 1332 - 1334.
Ian Parsons, W. W. Armstrong: The Use of Adaptive Logic Nets to
Quantify Tar Sands Feed (Draft), available via anonymous ftp from
menaik.cs.ualberta.cs [220.127.116.11] in pub/atree/alntarsands.ps.Z.
W.W. Armstrong, R. B. Stein, A. Kostov, M. Thomas, P. Baudin, P.
Gervais, D. Popovic, Application of adaptive logic networks and
dynamics to study and control of human movement, Second Int'l Symp. on
3D Analysis of Human Movement, Poitiers, June 30 - July 3, 1993
pp. 81 - 84.
D. B. Popovic, R.B. Stein, K. L. Jovanovic, R.Dai, A. Kostov,
W.W. Armstrong, Sensory Nerve Recording for Closed-Loop Control to
Restore Motor Functions, IEEE Trans. Biomed. Eng., vol. 40 no. 10
pp. 1024 - 1031, 1993.
Aleksandar Kostov, Richard B. Stein, Dejan Popovic and W. W. Armstrong,
Improved Methods for Control of FES for Locomotion,
Proc. International Federation of Automatic Control
(IFAC) Symposium on Modeling and Control in Biomedical Systems,
Galveston, Texas, March 27 - 30, 1994.
A. Kostov, B. J. Andrews, D. Popovic, R. B. Stein, W. W. Armstrong,
Machine Learning in Control of Functional Electrical Stimulation
Systems for Locomotion (submitted).
William W. Armstrong, Monroe M. Thomas, Control of a Vehicle Active
Suspension System Model using Adaptive Logic Networks, included in the
appendix to the Proceedings distributed on-site at the World Congress
on Neural Networks, San Diego, California, June 5 - 9, 1944, and
distributed electronically on internet with the permission of the
conference managers via ftp from ftp.cs.ualberta.ca in
pub/atree/wcnnpub.ps. (A missing reference from an earlier version is
in wcnnpub.readme in that directory.)
James Darrell McCauley, Brian Ray Thane and Alan Dale Whittaker, Fat
Estimation in Beef Ultrasound Images using Texture and Adaptive Logic
Networks, Transactions of the ASAE, vol. 37 no. 3, pp. 997 - 1002,
Last Web update on Mon Feb 13 10:25:08 1995