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ALN: Atree Adaptive Logic Network Simulation Package

areas/neural/systems/atree/
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 arms@cs.ualberta.ca.
Origin:   

   ftp.cs.ualberta.ca:pub/atree/ [129.128.4.241]

Version: 2.7 (IBM PC), 2.0 (UNIX) Requires: C/C++ Ports: IBM PC (Windows 3.x), UNIX (includes ports to Macintosh and Amiga). 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: alnl@cs.ualberta.ca To subscribe, send mail to alnl-request@cs.ualberta.ca. Author(s): Prof. William W. Armstrong Computing Science Department University of Alberta Edmonton, Alberta, Canada T6G 2H1 Tel: 403-492-2374 Fax: 403-492-1071 Keywords: ALN, ATREE, Adaptive Logic Networks, Authors!Armstrong, C!Code, C++!Code, Machine Learning!Neural Networks, Neural Networks, OCR References: 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 (unpublished, except in summary form as follows:) W. Armstrong and G. Godbout, Properties of Binary Trees of Flexible Elements Useful in Pattern Recognition, IEEE 1975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 [129.128.4.241] in pub/atree/atree2.ps.Z (the title of the revised document is Some Results concerning Adaptive Logic Networks). 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 [129.128.4.241] 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, 1994.
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