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Neuron Digest Volume 09 Number 43
Neuron Digest Saturday, 29 Aug 1992 Volume 9 : Issue 43
Today's Topics:
Neural Networks for Control (specific application)
First Swedish National Conference on Connectionism
Preprint available: Synchronization and label-switching
Paper in Neuroprose Archive
Thesis on NN simulation hardware availabe for ftp
Send submissions, questions, address maintenance, and requests for old
issues to "neuron-request@cattell.psych.upenn.edu". The ftp archives are
available from cattell.psych.upenn.edu (128.91.2.173). Back issues
requested by mail will eventually be sent, but may take a while.
----------------------------------------------------------------------
Subject: Neural Networks for Control (specific application)
From: Duane White <KSRC001%TAIVM2.BITNET@TAIVM1.taiu.edu>
Date: Fri, 28 Aug 92 16:16:59 -0600
I need information on how to train a neural network for use with servo
motor control.
PROBLEM:
I have a robotic arm. The motor which controls the movement of the
arm on the Z-axis has been interfaced to a computer. Position is read
from an encoder. Relays are used to turn the motor on and off and to
determine the direction of the motor. I have already developed a working
PID controller, and now would like to compare it with a neural net based
controller. The inputs to the controller are e (position error) and e
dot (the change in error,derivative of error).
I have already written in C++ the code for a backpropagation neural
network. My question is "How do I go about training a neural network for
use as a CONTROLLER?" One suggestion was to use the PID controller to
train the neural controller. To me this is unacceptable since the neural
controller would simple be an approximation of the PID controller. What
I would like is an idea on how to take the neural network and the arm and
perform some form of ON-LINE training.
DUANE WHITE
TEXAS A&I UNIVERSITY
DEPARTMENT OF ELECRICAL ENGINEERING, GRADUATE RESEARCH
PO BOX 2411 STA. 1
KINGSVILLE, TX 78363
KSRC001@TAIVM2.TAIU.EDU
------------------------------
Subject: First Swedish National Conference on Connectionism
From: Lyn Shackleton <lyn@dcs.ex.ac.uk>
Date: Mon, 24 Aug 92 12:51:51 +0000
The Connectionist Research Group
University of Skovde
The First
Swedish National Conference on
Connectionism
Wednesday 9th and Thursday 10th Sept. 1992, Skovde, Sweden
at
Billingehus Hotel and Conference Centre
INVITED SPEAKERS
James M. Bower, California Inst. of Technology, USA
"The neuropharmacology of associative memory function: an in
vitro, in vivo, and in computo study of object recognition
in olfactory cortex."
Ronald L. Chrisley, University of Sussex, UK
"Connectionist Cognitive Maps and the Development of Objec-
tivity."
Garrison W. Cottrell, University of California, San Diego, USA
"Dynamic Rate Adaptation."
Jerome A. Feldman, ICSI, Berkeley, USA
"Structure and Change in Connectionist Models"
Dan Hammerstrom, Adaptive Solutions, Inc., USA
"Neurocomputing Hardware: Present and Future."
James A. Hendler, University of Maryland, USA
"SCRuFFy: An applications-oriented hybrid connectionist/symbolic
shell."
Ajit Narayanan, University of Exeter, UK
"On Nativist Connectionism."
Jordan B. Pollack, Ohio State University, USA
"Explaining Cognition with Nonlinear Dynamics."
David E. Rumelhart, Stanford University, USA
"From Theory to Practice: A Case Study"
Noel E. Sharkey, University of Exeter, UK
"Semantic and Syntactic Decompositions of Fully Distributed
Representations"
Tim van Gelder, Indiana University, USA
"Connectionism and the Mind-Body Problem: Exposing the Rift
between Mind and Cognition."
PROGRAMME
Secretariat:
SNCC-92
Attn: Ulrica Carlbom
University of Skovde
P.O. Box 408
S-541 28 Skovde, SWEDEN
Phone +46 (0)500-77600, Fax +46 (0)500-16325
conference@his.se
Conference organisers
Lars Niklasson (University of Skovde) lars@his.se
Mikael Boden (University of Skovde) mikael@his.se
Program committee
Anders Lansner (Royal Institute of Technology, Sweden)
Noel E. Sharkey (University of Exeter, UK)
Ajit Narayanan (University of Exeter, UK)
Conference sponsors
University of Skovde
The County of Skaraborg (Lansstyrelsen, Skaraborgs Lan)
Conference patrons
Lars-Erik Johansson, Vice-chancellor University of Skovde
Stig Emanuelsson, Head of Comp. Sci. Dept., Univ. of Skovde
The Swedish Neural Network Society (SNNS) will hold an offi-
cial members meeting at the conference.
The Sessions
Wednesday 9th
Session 1: Opening / Invited Papers (Room 1)
Chair: Lars Niklasson (SNCC-92 organiser)
08.30 Opening
09.00 Connectionism and the Mind-Body Problem:
Exposing the Rift between Mind and Cognition
Tim van Gelder, Indiana University, USA
09.50 Explaining Cognition with Nonlinear Dynamics
Jordan B. Pollack, Ohio State University, USA
10.40 Coffee Break
Session 2: Invited Paper (Room 1)
Chair: Tim van Gelder (Indiana University, USA)
11.10 - 12.00 Semantic and Syntactic Decompositions of
Fully Distributed Representations
Noel E. Sharkey, University of Exeter, UK
Session 3a: Philosophical presentations (Room 1)
Chair: Tim van Gelder (Indiana University, USA)
12.05 Subsymbolic Connectionism: Representational Vehicles
and Contents
Tere Vaden, University of Tampere, Finland
12.30 First Connectionist Model of Nonmonotonic Reasoning:
Handling Exceptions in Inheritance Hierarchies
Mikael Boden, University of Skovde and Ajit Narayanan,
University of Exeter, UK
12.55 Lunch Break
Session 3b: Theoretical presentations (Room 2)
Chair: Jordan B. Pollack (Ohio State University, USA)
12.05 Neural Networks for Unsupervised Linear
Feature Extraction
Reiner Lenz and Mats Osterberg, Linkoping University
12.30 Feed-forward Neural Networks in Limiting Cases of
Infinite Nodes
Abhay Bulsari and Henrik Saxen, Abo Akademi, Finland
12.55 Lunch Break
Session 4: Invited Papers (Room 1)
Chair: Jerome A. Feldman (ICSI, Berkeley, USA)
14.00 SCRuFFy: An Applications-oriented Hybrid
Connectionist/Symbolic Shell
James A. Hendler, University of Maryland, USA
14.50 Neurocomputing Hardware: Present and Future
Dan Hammerstrom, Adaptive Solutions, Inc., USA
15.40 Coffee Break
Session 5a: Philosophical presentations (Room 1)
Chair: Noel E. Sharkey (University of Exeter, UK)
16.10 Connectionism - The Miracle Mind Model
Lars Niklasson, University of Skovde and Noel E. Sharkey,
University of Exeter, UK
16.35 Some Properties of Neural Representations
Christian Balkeniun, Lund University
17.00 Behaviors, Motivations, and Perceptions In
Artificial Creatures
Per Hammarlund and Anders Lansner,
Royal Institute of Technology, Stockholm
17.25 Break
Session 5b: Hardware-oriented presentations (Room 2)
Chair: Dan Hammerstrom (Adaptive Solutions Inc., USA)
16.10 Pulse Coded Neural Networks for Hardware
Implementation
Lars Asplund, Olle Gallmo, Ernst Nordstrom, and Mats Gustafsson
Uppsala University
16.35 Towards Modular, Massively Parallel Neural Computers
Bertil Svensson, Chalmers University of Technology, Goteborg and
Centre for Computer Science, Halmstad University,
Tomas Nordstrom, Lulea University of Technology,
Kenneth Nilsson and Per-Arne Wiberg, Halmstad University
17.00 The Grid - An Experiment in Neurocomputer
Architecture
Olle Gallmo and Lars Asplund, Uppsala University
17.25 Break
Session 6a: Theoretical presentations (Room 1)
Chair: Garrison W. Cottrell (University of California, USA)
17.40 A Neural System as a Model for Image Reconstruction
Mats Bengtsson, Swedish Defence Research
Establishment, Linkoping
18.05 Internal Representation Models in Feedforward
Artificial Neural Networks
Hans G. C. Traven, Royal Institute of
Technology, Stockholm
18.30 - 18.55 A Connectionist Model for Fuzzy Logic,
Abhay Bulsari and Henrik Saxen, Abo Akademi, Finland
Session 6b: Application-oriented presentations (Room 2)
Chair: James A. Hendler (University of Maryland, USA)
17.40 A Robust Query-Reply System Based on a Bayesian
Neural Network
Anders Holst and Anders Lansner,
Royal Institute of Technology, Stockholm
18.05 Neural Networks for Admission Control in an
ATM Network
Ernst Nordstrom, Olle Gallmo, Lars Asplund,
Uppsala University
18.25 - 18.55 Adaptive Generalisation in Connectionist Nets
Amanda Sharkey and Noel E Sharkey,
University of Exeter, UK
Swedish Neural Network Society (SNNS) (Room 1)
19.00-19.45 Members meeting
Thursday 10th
Session 7: Invited Papers (Room 1)
Chair: Ronald L. Chrisley (University of Sussex, UK)
09.00 Structure and Change in Connectionist Models
Jerome A. Feldman, ICSI, Berkeley, USA
09.50 On Nativist Connectionism
Ajit Narayanan, University of Exeter, UK
10.40 Coffee Break
Session: 8 Invited Paper (Room 1)
Chair: Anders Lansner (Royal Institute of Technology,
Stockholm)
11.10 - 12.00 The Neuropharmacology of Associative Memory
Function: an in Vitro, in Vivo, and in Computo
Study of Object Recognition in Olfactory Cortex
James M. Bower, California Institute of Technology, USA
Session 9a: Neurobiological presentations (Room 1)
Chair: James M. Bower (CalTech)
12.05 A Model of Cortical Associative Memory Based on
Hebbian Cell Assemblies
Erik Fransen, Anders Lansner and Hans Liljenstrom,
Royal Institute of Technology, Stockholm
12.30 Cognition, Neurodynamics and Computer Models
Hans Liljenstrom, Royal Institute of
Technology, Stockholm
12.55 Lunch Break
Session 9b: Application-oriented presentations (Room 2)
Chair: David E. Rumelhart (Stanford University)
12.05 Experiments with Artificial Neural Networks for
Phoneme and Word Recognition
Kjell Elenius, Royal Institute of Technology, Stockholm
12.30 Recognition of Isolated Spoken Swedish Words -
An Approach Based on a Self-organizing Feature Map
Tomas Rahkkonen, Telia Research AB, Systems Research
Spoken Language Processing, Haninge
12.55 Lunch Break
Session 10: Invited Papers (Room 1)
Chair: Ajit Narayanan (University of Exeter, UK)
14.00 Connectionist Cognitive Maps and the
Development of Objectivity
Ronald L. Chrisley, University of Sussex, UK
14.50 Dynamic Rate Adaption
Garrison W. Cottrell, University of California,
San Diego, USA
15.40 Coffee Break
Session 11: Invited Paper (Room 1)
Chair: Mikael Boden (SNCC-92 organiser)
16.10 From Theory to Practice: A Case Study
David E. Rumelhart, Stanford University, USA
17.00 Closing
Registration form
Fees include admission to all conference sessions and a copy
of the Advance Proceedings.
Hotel reservation is made at Billingehus Hotel and Confer-
ence Centre. The rooms are available from Tuesday (8th)
evening to noon Thursday (10th), for the two-day alterna-
tive, and from Wednesday evening (9th) to noon Thursday
(10th), for the one-day alternative. All activities will be
held at the conference centre. A block of rooms has been
reserved until 10th Aug. After this date, room reservations
will be accepted on a space available basis. To register,
complete and return the form below to the secretariat.
Registration is valid when payment is received. Payment
should be made to postal giro 78 81 40 - 2, payable to
SNCC-92, Hogskolan i Skovde. Cancellation of hotel reserva-
tion can be made until 15/8 (the conference fee, 600 SEK, is
not refundable).
- -------------------------- cut -----------------------------
Name: (Mr/Ms) ____________________________________________
Company: ____________________________________________
Address: ____________________________________________
City/Country: ____________________________________________
Phone: ____________________________________________
If the double room alternative has been chosen, please give
the details for the second person.
Name: (Mr/Ms) ____________________________________________
Company: ____________________________________________
Country: ____________________________________________
Alternatives Until 9th Aug After 9th Aug
(please circle chosen fee)
Conference fee only 1000SEK 1000SEK
(incl. coffee and lunch)
Conference fee + Full board and
single room lodging 8/9 - 10/9 2400SEK 3500SEK
Conference fee + Full board and
double room lodging 8/9 - 10/9 2 x 2000SEK 2 x 2600SEK
Conference fee + Full board and
single room lodging 9/9 - 10/9 1700SEK 2400SEK
Conference fee + Full board and
double room lodging 9/9 - 10/9 2 x 1500SEK 2 x 2000SEK
Indicate if vegetarian meals are preferred: _____ person(s)
------------------------------
Subject: Preprint available: Synchronization and label-switching
From: Alfred_Nischwitz <alfred@lnt.e-technik.tu-muenchen.de>
Date: Tue, 11 Aug 92 17:54:38 +0100
The following paper is submitted for publication in the proceedings of
the International Joint Conference on Artificial Neural Networks '92 in
Beijing, China:
IMPULSE EVALUATION BY MODEL NEURONS
by Alfred Nischwitz Lehrstuhl fuer Nachrichtentechnik
Technische Universitaet Muenchen
Arcisstrasse 21, D-8000 Muenchen 2, Germany
ABSTRACT:
The integration of spike-input to model neurons is investigated. The
degree of synchronization of presynaptic impulses which is necessary for
the triggering of postsynaptic action potentials is derived analytically.
It is shown that for small neural integration time constants accurate
synchronization of the incoming impulses is essential for the propagation
of the received impulses.
Hardcopies of the paper are available. Please send requests via email or
to the following address in Germany:
Alfred Nischwitz
Lehrstuhl fuer Nachrichtentechnik
Technische Universitaet Muenchen
Arcisstrasse 21, D-8000 Muenchen 2, F.R.Germany
email: alfred@lnt.e-technik.tu-muenchen.de
Alfred Nischwitz
------------------------------
Subject: Paper in Neuroprose Archive
From: Paolo Frasconi <paolo@psyche.mit.edu>
Date: Mon, 24 Aug 92 14:00:31 -0500
The following technical report has been placed in the Neuroprose
Archives at Ohio State University:
Injecting Nondeterministic Finite State Automata
into Recurrent Neural Networks
Paolo Frasconi, Marco Gori, and Giovanni Soda
Technical Report DSI-RT15/92, August 1992
Dipartimento di Sistemi e Informatica
University of Florence
Abstract:
In this paper we propose a method for injecting time-warping
nondeterministic finite state automata into recurrent neural networks.
The proposed algorithm takes as input a set of automata transition rules
and produces a recurrent architecture. The resulting connection weights
are specified by means of linear constraints. In this way, the network
is guaranteed to carry out the assigned automata rules, provided the
weights belong to the constrained domain and the inputs belong to an
appropriate range of values, making possible a boolean interpretation.
In a subsequent phase, the weights can be adapted in order to obtain the
desired behavior on corrupted inputs, using learning from examples. One
of the main concerns of the proposed neural model is that it is no longer
focussed exclusively on learning, but also on the identification of
significant architectural and weight constraints derived systematically
from automata rules, representing the partial domain knowledge on a given
problem.
To obtain a copy via FTP (courtesy of Jordan Pollack):
unix% ftp archive.cis.ohio-state.edu (or 128.146.8.52)
Name: anonymous
Password: (type your E-mail address)
ftp> cd pub/neuroprose
ftp> binary
ftp> get frasconi.nfa.ps.Z
ftp> quit
unix% zcat frasconi.nfa.ps.Z | lpr
(or however you uncompress and print postscript)
Sorry, no hard copies available.
Paolo Frasconi
Dipartimento di Sistemi e Informatica
Via di Santa Marta, 3
50139 Firenze, Italy
frasconi@ingfi1.cineca.it
------------------------------
Subject: Thesis on NN simulation hardware availabe for ftp
From: Mark James <mrj@moria.cs.su.oz.au>
Date: Tue, 25 Aug 92 17:57:43 +0900
The following Master of Science thesis is available for ftp from neuroprose:
Design of Low-cost, Real-time Simulation Systems for Large Neural Networks
--------------------------------------------------------------------------
Mark James
The University of Sydney
January, 1992
ABSTRACT
Systems with large amounts of computing power and storage are required to
simulate very large neural networks capable of tackling complex control
problems and real-time emulation of the human sensory, language and
reasoning systems. General-purpose parallel computers do not have
communications, processor and memory architectures optimized for neural
computation and so can not perform such simulations at reasonable cost.
The thesis analyses several software and hardware strategies to make
feasible the simulation of large, brain-like neural networks in real-time
and presents a particular multicomputer design able to implement these
strategies. An important design goal is that the system must not
sacrifice computational flexibility for speed as new information about
the workings of the brain and new artificial neural network architectures
and learning algorithms are continually emerging.
The main contributions of the thesis are:
* an analysis of the important features of biological neural networks
that need to be simulated,
* a review of hardware and software approaches to neural networks, and an
evaluation of their abilities to simulate brain-like networks,
* the development of techniques for efficient simulation of brain- like
neural networks, and
* the description of a multicomputer that is able to simulate large,
brain-like neural networks in real-time and at low cost.
------------------------------------------
To obtain a copy via FTP
use the standard procedure:
% ftp cheops.cis.ohio-state.edu
anonymous
Password: anything
ftp> cd pub/neuroprose
ftp> binary
ftp> get james.nnsim.ps.Z
ftp> quit
% zcat james.nnsim.ps.Z | lpr
Mark James | EMAIL : mrj@cs.su.oz.au |
Basser Department of Computer Science, F09 | PHONE : +61-2-692-4276 |
The University of Sydney NSW 2006 AUSTRALIA | FAX : +61-2-692-3838 |
------------------------------
End of Neuron Digest [Volume 9 Issue 43]
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