HDTenEightyP/NetNews huggingface dataset:
From: rizvi@acsu.buffalo.edu (syed a rizvi)
Newsgroups: comp.ai.neural-nets
Subject: Source code for ART2 Neural Net wanted
Summary: info on ART2
Keywords: neural nets, ART2
Date: 14 Dec 92 21:10:08 GMT
Organization: UB


Hello:
 
I need the source code for the neural net ART2. I want to use it for 
my research in image processing.

Please send me the address of the ftp site if one exists or mail the
code to me.

Your help is highly appreciated.

thanks in advance

rizvi.
(rizvi@eng.buffalo.edu)
Newsgroups: comp.ai.neural-nets
From: block@dxlaa.cern.ch (Frank Block)
Subject: Re: References, please
Reply-To: block@dxlaa.cern.ch (Frank Block)
Organization: CERN, European Laboratory for Particle Physics, Geneva
Date: Wed, 16 Dec 1992 08:35:07 GMT


In article <JAWS.92Dec15143652@hope.uio.no>, jaws@hope.uio.no (John Asmund Westberg) writes:
|> 
|> 
|> 	Given a set of data points: How to determine if some of the points make
|> some geometric figure, say a circle, or a greater or lesser part of one.
|> 
|> Other relevant hints or pieces of information will also be treated with warmth and care.
|> 
|> Thanks,
|> John Asmund Westberg
|> email: jaws@master.uio.no
|> 
|> ---
|> 

I would also be very interested in the references.
Frank
--

===============================================================================
Frank Block
Div. PPE
European Laboratory for Particle Physics - CERN
CH-1211 Geneve 23					BLOCKF@cernvm.cern.ch
Switzerland						BLOCKF@vxcern.cern.ch
===============================================================================
Newsgroups: comp.ai.neural-nets
Subject: New electronic magazine - Psyche
From: x91007@phillip.edu.au
Date: 14 Dec 92 23:55:27 EST
Organization: RMIT (Bundoora Campus)

Announcement: New Electronic Magazine 'Psyche'.

I am interested in starting up a electronic magazine 
exploring broad issues relating to consciousness and the 
mind. I hope to explore these issues in an interdisciplinary 
way - using approaches and insights from psychology, 
philosophy, anthropology, computer science and mathematics.

Examples of some of the general areas that Psyche will cover 
are: the mind-body problem; altered-states-of-consciousness; 
psychoactive drugs; shamanism; dream states; hypnosis; 
artificial intelligence; meditative states; ecstatic 
religious states; blindsight; language and mind. 

In an attempt to offer a grounding in some of the central 
themes of Psyche, major review articles of influential 
ideas/books/movements will also be solicited. Examples of 
what these might be are: John Searle's Chinese Room Problem; 
Daniel Dennett's book 'Consciousness Explained'; Gordon 
Wasson's theories regarding Soma; Roger Penrose's book 'The 
Emperor's New Mind'.

While Psyche will not be peer-reviewed this does not mean 
that it will become a haven for New Age/Lunatic Fringe ideas. 
I have just completed a BSc Honours majoring in psychology, 
and I am currently studying the way the brain codes the 
position of objects. I would like to balance by skills with 
others and so am particularly interested in getting in 
contact with people with backgrounds in either computer 
science, philosophy or anthropology to act as sub/co-editors.

While the date is obviously tentative I would like to get the 
first issue of Psyche out by March 1993. It will be produced 
in ASCII and hopefully postscript. As tends to be the nature 
of electronic journals clarity, rather than length, will be a 
critical factor in deciding which articles are accepted.

So if your interested in: helping, supplying copy, 
subscribing (at least for the first edition), or simply 
offering advice please contact me directly at the address 
below. In your reply please let me know where you read about 
Psyche.

Yours sincerely,
			 Patrick Wilken

x91007@phillip.edu.au 

Newsgroups: comp.ai.neural-nets
From: hueske@iw.uni-hannover.de (Marc Hueske)
Subject: Neuro-Fuzzy (Kohonen)
Reply-To: hueske@iw.uni-hannover.de
Organization: Institut fuer Werkstoffkunde, Uni Hannover
Date: Wed, 16 Dec 1992 12:18:37 GMT

Help needed !
I am looking for references about Kohonen's feature maps used to extract
rules and membership funcitons for a fuzzy logic controller (vehicle control)
from example data. Is it possible to use the feature maps to adaptively change the controller's parameters (membership functions, rules) during the operation or is the 
learning ability to slow?
Thanks in advance,

Marc

P.S.: I already have the report ForT2 from the University of Dortmund.

----------------------------------------------------------------------
|  Marc Hueske                    |  Tel: INT-49-511-762-3906        |
|  Universitaet Hannover          |  Fax: INT-49-511-762-5245        |
|  Institut fuer Werkstoffkunde   |  Email: hueske@iw.uni-hannover.de|
|  Fachgruppe Unterwassertechnik  |                                  |                                       |  Appelstr. 11a                  |                                  |                                     |W-3000 Hannover, GERMANY         |                                  |                                       ----------------------------------------------------------------------

Newsgroups: comp.ai.neural-nets
From: andy@extro.ucc.su.OZ.AU (Andrew Miehs)
Subject: Beginners Question: Walking Robots & NNs
Organization: Sydney University Computing Service, Sydney, NSW, Australia
Date: Sat, 12 Dec 1992 04:20:20 GMT

I've read many articles recently (in SciAm and others) about insect-like robots
which teach themselves how to walk, from scratch.

The articles didn't go very far into the theory of it, but it seems, to my 
limited knowledge, that this would be an appropriate application for a neural
net. I'm have recently been teaching myself about NNs and this problem
intrigued me such that I'd love to try it out myself.

Does anyone know much about these 'creatures'? I am especially curious as to
how they know whether their actions are "successful" and even how they can
define what a "succefsful action" is.

I was thinking of working on a much simpler scale - a simple robot which had
four independently motored wheels, whose on/off and forward/reverse motion
could be controlled by a computer. It's objective, would be to find some
transmitter, given intensity signals from four directional receivers (probably
microphones & ultra-sonic sound).

Am I being hopelessly naive in believing that I could create a NN to solve
such a problem? If not (i hope not) what approach would you recommend?

Malcolm Ryan (care of Andrew Miehs)
Email replies to andy@extro.ucc.su.oz.au
-- 
+-------------------------------+---------------------------------------------+
| Andrew Miehs                  |                                             |
| Mail: andy@extro.ucc.su.oz.au |       $$$ THIS SPACE FOR RENT $$$           |
| NB:   Don't call me andy!     |                                             |
From: elelko@nuscc.nus.sg (Kwok-Onn Looi)
Subject: Re: FAQ
Organization: National University of Singapore
X-Newsreader: Tin 1.1 PL4
Date: Sat, 19 Dec 1992 02:50:53 GMT

elelko@nuscc.nus.sg (Kwok-Onn Looi) writes:
: 
: i have looked at news.answer but can't find the faq for this group. is
: it normally stored in an ftp site somewhere ?
: 
: thanks.
: 
: rgds,
: k.o.looi

after more searching (plus an encouragement from an anonymous netter on
bitnet, wherever you are !) i've managed to find the 'nest' of all faq.
ok, only to those uninitiated, you just need to go to the ftp site for the
group news.answers where info regarding this poster group (incl faq) is
archived. one of these ftp sites is at 18.172.1.27, under
pub/usenet/news.answers. for more info, look up news.answers and
news.newsgroup.<*>.

to the 'masked person', i've figgered ! thanx.

rgds,
k.o.looi
From: gdouilla@saturn.sdsu.edu (Geoffrey Douillard)
Newsgroups: comp.ai.neural-nets
Subject: radial basis function neural net
Date: 14 Dec 1992 00:13:22 GMT
Organization: San Diego State University, College of Sciences
NNTP-Posting-Host: saturn.sdsu.edu
X-Newsreader: TIN [version 1.1 PL8]

I am searching for an operational neural network program using the
radial basis function.  I was told that the PlaNet simulator had one
but I have had zero success contacting the PlaNet user's group.  I would
greatly appreciate any assistance.  thank you.
            geoff douillard (gdouilla@saturn.sdsu.edu)
Newsgroups: comp.ai.neural-nets
From: baginski@Informatik.TU-Muenchen.DE (Boris Baginski)
Subject: Meaning of deltas in hidden units
Keywords: BP, delta values
Originator: baginski@gnom.informatik.tu-muenchen.de
Organization: Technische Universitaet Muenchen, Germany
Date: Tue, 15 Dec 1992 16:24:20 GMT


Everbody knows the meaning of the delta values in the backprop algorithm
for output units (difference between target and activation) and the use
of the deltas to adjust the internal weights.

But the question is: what do those values express for the hidden units and
for the input units (can be calculated easily, are not used) ?
We explored that these deltas take on values up to 50 (+/-) or so, but we only
use inputs and targets and activation states in the range of 0-1.
So it`s not simply possible to say these values express a realistic target minus
activation for the hidden/input units.

thank you, regards,
BORIS BAGINSKI
adress: baginski@informatik.tu-muenchen.de
Newsgroups: comp.ai.neural-nets
From: biederma@namu01.gwdg.de (Jochen Biedermann COGR)
Subject: Looking for interesting ANN applications
Organization: Georg-August-Universitaet Goettingen, Germany
Distribution: comp.ai.neural-nets
Date: 16 Dec 92 21:11:00

Hi,
who has information about ANN applications developed for commercial
use ? I have heard a lot of rumours of ANNs in use or ready for use in
industry and research, but in the papers and other publications I have
read I could not find many hints.
I plan to write my master thesis at the University of Goettingen,
Germany on this topic.
I would be very glad to get answers especially from groups in Germany
and Europe.
I am interested in contacts to other ANN groups in Germany (I have
heard of groups at the University of Karlsruhe, Bonn, Bochum,
Paderborn and Oldenburg).

Please mail to biederma@namu01.gwdg.de, I will summarize all
interesting replies (next year).

Jochen Biedermann
--

Tschuess,
         
                         Jochen.
From: mav@cs.uq.oz.au (Simon Dennis)
Newsgroups: comp.ai.neural-nets
Subject: Re: NNs that learn to learn
Date: 14 Dec 92 00:48:21 GMT
Reply-To: mav@cs.uq.oz.au

bruhn@exaib (Peter Bruhn ) writes:

>So my question is: are there any NNs that adapt to changes in their
>environments? So the underlying procedure should look like:

>	1. They are trained
>	2. They are used and adapt automatically to
>	    changes in their environments

>Peter (bruhn at uxe.wu-wien.ac.at)

Learning to learn phenomena are well documented in the human memory literature.
Subject's ability to "memorize" or "learn" to recall lists of items 
improves as they are exposed to multiple trials. In contrast, subject's ability
to do episodic recognition (i.e. Was this word in the list you just saw?) does
not seem to get any better (at least after about 5 years of age). It is
difficult in the second case however to determine whether subjects have 
just reached ceiling.

There have been a couple of attempts to include models from the human memory
literature into backprop networks. At NIPS, Tony Plate presented a model which 
included a derivative of Ben Murdock's TODAM model, and I have done something
similar with Ray Pike's matrix memory. During testing, the backprop weights
are held constant, but the "weights" of the matrix memory are allowed to
change, so as to store items and hence adapt to the current environment.
This not only leads to massive improvements in capacity over normal 
recurrent network architectures, but also allows the modelling of
learning to learn, or perhaps more accurately, learning to memorize 
phenomena.

Simon.

--
Simon Dennis                  Address: Department of Computer Science
Email: mav@cs.uq.oz.au                 University of Queensland
                                       QLD 4072
                                       Australia
Xref: sparky comp.ai.neural-nets:4610 comp.sys.hp:14200
From: swann@divsun.unige.ch (SWANN Philip)
Newsgroups: comp.ai.neural-nets,comp.sys.hp
Subject: Aspirin on HP/400
Date: 17 Dec 92 16:57:50 GMT
Organization: University of Geneva, Switzerland


I just ftp'd the aspirin/migraine NN simulator and would like to compile it on my
HP/400 HPUX 7.0 machine. Has anyone done this and got a copy of the
changes needed?

E-mail reply please to:

Philip Swann
University of Geneva
From: javhar@wsinfo03.win.tue.nl (Jack v Rijswijck)
Newsgroups: comp.ai.neural-nets
Subject: Q: PhD in Neural Networks
Date: 14 Dec 92 14:45:34 GMT
Reply-To: javhar@win.tue.nl

Hi,

   I am currently involved in a master's thesis research, in which
we (= Gert-Jan Hagenaars & me) are trying to teach an ANN to play the
board game `Hex'. We would like to know if there are opportunities
for a Ph.D. abroad, following up on this thesis. Keywords: AI, ANN, 
games. Our MS is in mathematics. 

   So we welcome any information about universities where research
is being conducted in this area. As for `abroad' we are mostly
interested in America (USA / Canada) and Scandinavia (Sweden / Norway).

Thanx

+----------------------------------------------------------------------+
|         Jack van Rijswijck                javhar@win.tue.nl          |
|         Eindhoven University of Technology, the Netherlands          |
+----------------------------------------------------------------------+
| this is a crisis. a large crisis. in fact, if you've got a moment,   |
| it's a twelve storey crisis with a magnificent entrance hall,        |
| carpeting throughout, twenty-four hour service and an enormous sign  |
| on the roof saying `this is a large crisis'.                         |
|                                            captain edmund blackadder |
+----------------------------------------------------------------------+
Newsgroups: comp.ai.neural-nets,comp.ai,comp.ai.edu
From: tas@engr.ucf.edu (Taha Sidani)
Subject: Need Assistance on Threat Assessment
Organization: engineering, University of Central Florida, Orlando
Date: Sun, 13 Dec 1992 19:43:47 GMT

Hi


I am interested in doing research in the area of "threat assessment" in a 
simulation that may involve neural nets and AI.  

In other words, I would like anything that pertains to machine situation 
awareness.

Please send me ANY related work, references, systems, and/or general 
information.

Thank you very much in advance,


Please reply to 

taha@ists.engr.ucf.edu
Newsgroups: comp.ai.neural-nets
From: dbenn@leven.appcomp.utas.edu.au (David Benn)
Subject: Re: Want info on SynWorks for the Amiga
Organization: University of Tasmania at Launceston
Date: Fri, 18 Dec 92 02:34:48 GMT

In article <1992Dec7.175336.1927@versyss.com>, keithd@versyss.com (Keith Doyle) writes:
>
>In article <1992Nov29.214400.15459@cheshire.oxy.edu> khan@cheshire.oxy.edu
>(Onnie Lynn Winebarger) writes:
>> [6 LINES OF QUOTED TEXT DELETED]
>
>I haven't used it much, but I did find it was unable to load the example
>network (would crash after selecting it on the file selector), and in fact, 
>I did have other problems related to the file selector.  I was running it 
>on an A3000 under both 1.3 and 2.0.
>
>Keith
>

I recently ftp'd the latest version of SynWorks from amiga.physik.unizh.ch.
It works fine under Wb 2.0 and 1.3.

regards...


-- 
dbenn@leven.appcomp.utas.edu.au
David Benn - Applied Computing, University of Tasmania at Launceston.
It makes sense to revere the sun and the stars, for we are   
their children. (Carl Sagan)
Newsgroups: comp.ai.neural-nets
From: swunnava@uceng.uc.edu (Srikanth Wunnava)
Subject: need help!!
Organization: University of Cincinnati
Date: Tue, 15 Dec 1992 21:43:52 GMT
Newsgroups: comp.ai.neural-nets
Distribution: world
Followup-To: 
From: swunnava@ddt.eng.uc.edu (Srikanth Wunnava)
Organization: University of Cincinnati
Subject: 
Keywords:

hai,
  I am Srikanth from University of Cincinnati. I am doing my Master's program in the field of
Transportation. I plan to work on application of Neural Nets with respect to my field. I would
appreciate if anyone of you could provide me with names of references in the following areas:
 
a> application of neural nets to "Time series forecasting"
b> learning algorithms for neural networks . If somebody has already worked on the various 
algorithms, i would appreciate if they advise me on their selection criteria basing on their 
applicability, reliability or other factors.

      i am pretty new to this area. So any kind of help regarding the subject would be greatly 
appreciated. Thanks in advance. Looking forward for some friendly advises. any kind of help would
mean a lot for me..



                    bye,
                       srikanth  



Newsgroups: comp.ai.neural-nets
From: swunnava@ddt.eng.uc.edu (Srikanth Wunnava)
Distribution: world
Followup-To: 
Organization: University of Cincinnati
Subject: application of neural nets 
Keywords: need help!!

hai,
  I am Srikanth from University of Cincinnati. I am doing my Master's program in the field of
Transportation. I plan to work on application of Neural Nets with respect to my field. I would
appreciate if anyone of you could provide me with names of references in the following areas:
 
a> application of neural nets to "Time series forecasting"
b> learning algorithms for neural networks . If somebody has already worked on the various 
algorithms, i would appreciate if they advise me on their selection criteria basing on their 
applicability, reliability or other factors.

      i am pretty new to this area. So any kind of help regarding the subject would be greatly 
appreciated. Thanks in advance. Looking forward for some friendly advises. any kind of help would
mean a lot for me..



                    bye,
                       srikanth
Newsgroups: comp.ai.neural-nets
Distribution: world
Followup-To: 
From: swunnava@ddt.eng.uc.edu (Srikanth Wunnava)
Organization: University of Cincinnati
Subject: 
Keywords: 



Newsgroups: comp.ai.neural-nets
From: waleed@sun14.vlsi.uwaterloo.ca (Fakhr M. Waleed)
Subject: Dr Zurada email
Organization: University of Waterloo
Date: Fri, 18 Dec 1992 21:26:56 GMT

Does any body know the email of Dr. Zurada?
Thanks

Waleed
From: peter@stycx.hacktic.nl (Author)
Newsgroups: comp.ai.neural-nets
Subject: FAQ
Date: Mon, 14 Dec 92 09:03:12 PST
Organization: River of Doom. Running through Central Holland

Hi, say I was wondering whether there is a FAQ available for this group, 
if somebody could post it or mail it to me I would be most gratefull.

Greetings -Peter

----------------------------------------------------------------------------
Peter@stycx.hacktic.nl (Author)                      Stycx BBS +31 3404 59551
The responsibility for chance...lies within us. We must begin with ourselves, 
teaching ourselves not to close our minds prematurely to the novel, 
the suprising, the seemingly radical.                        -Alvin Toeffler
From: tcwan@umiami.ir.miami.edu
Newsgroups: comp.ai.neural-nets
Subject: Looking for two references.... 
Date: 11 Dec 92 13:04:09 EST
Organization: Univ of Miami IR

I'm posting this for a friend, so please reply to him directly...
--------------------------------------------


I would appreciate it if some one can help me find the following:
1) A paper in the NIPS 89 proceedings by Snep et al. Unfortunately I do not have
any further details about the reference.
2) A reference on Kanerva's SDM (?) model.

Please send me any information that you may have to 
	sgazula@umiami.ir.miami.edu.
Unfortunately the library out here is of not much help.

Thanks.
S. Gazula.

____________________________________________________________________________
t.c.

Xref: sparky comp.ai.neural-nets:4617 sci.math.num-analysis:3634 sci.math.stat:2641 sci.physics:21417
From: ingber@cco.caltech.edu (Lester Ingber)
Newsgroups: comp.ai.neural-nets,sci.math.num-analysis,sci.math.stat,sci.physics
Subject: Very Fast Simulated Reannealing (VFSR) v6.35 now in Netlib
Date: 18 Dec 1992 13:48:34 GMT
Organization: California Institute of Technology, Pasadena
Distribution: world
NNTP-Posting-Host: alumni.caltech.edu

                Very Fast Simulated Reannealing (VFSR) v6.35
 
Netlib requested an early update, and VFSR v6.35 is now in Netlib
and soon will be updated in Statlib.  The code is stable, and is
being used widely.  The changes to date typically correct typos and
account for some problems encountered on particular machines.
 
                NETLIB
Interactive:
        ftp research.att.com
        [login as netlib, your_login_name as password]
        cd opt
        binary
        get vfsr.Z
Email:
        mail netlib@research.att.com
        send vfsr from opt
 
                STATLIB
Interactive:
        ftp lib.stat.cmu.edu
        [login as statlib, your_login_name as password]
        cd general
        get vfsr
Email:
        mail statlib@lib.stat.cmu.edu
        send vfsr from general
 
		EXCERPT FROM README
2.  Background and Context
 
     VFSR  was  developed  in  1987 to deal with the necessity of
performing adaptive global optimization on multivariate nonlinear
stochastic  systems[2].   VFSR was recoded and applied to several
complex systems, in combat analysis[3],  finance[4],  and  neuro-
science[5].   A  comparison  has  shown  VFSR to be superior to a
standard genetic algorithm simulation on a suite of standard test
problems[6],  and  VFSR  has  been  examined  in the context of a
review of methods of simulated annealing[7].  A project comparing
standard  Boltzmann  annealing  with "fast" Cauchy annealing with
VFSR has concluded that VFSR is a superior algorithm[8].  A paper
has  indicated how this technique can be enhanced by combining it
with some other powerful algorithms[9].

-- 
|| Prof. Lester Ingber                         [10ATT]0-700-L-INGBER ||
|| Lester Ingber Research                        Fax: 0-700-4-INGBER ||
|| P.O. Box 857                           Voice Mail: 1-800-VMAIL-LI ||
|| McLean, VA  22101                EMail: ingber@alumni.caltech.edu ||
Newsgroups: comp.ai.neural-nets
From: marwan@metro (Marwan Jabri)
Subject: Re: Integer neural networks?
Organization: Sydney University Computing Service, Sydney, NSW, Australia
Date: Wed, 16 Dec 1992 23:57:29 GMT

Two papers that address the problems of limited precision MLPs in the 
neuroprose archive (anonymous on archive.cis.ohio-state.edu under
pub/neuroprose) starting with yun....

One paper is on the effects and another paper is on an algorithm tha we
have developed and successfully used in training limited precision chips.

Although some may argue that limited precision is not a problem, the
bottom line is if you want to use gradient descent based algorithms you
will find that backpropagation based techniques will simply fail to do
anything useful on may applications when the number of bits drop towards
the 8-6 bits. So the essence is that local search techniques will fail in
these conditions.

If you have more than 8 bits, you have a good chance in getting gradient
descent based techniques to work.

On thing you may consider is training (if training can be done off the
hradware) is use floating point training and then simply scale and
truncate your values.

If you are interested in an environment that you can use to do limited
precision training, I have sent some information recently about MUME which
implements many limited precision algorithms, including that referenced
above. I can mail you some information if interested.

Marwan Jabri
marwan@sedal.su.oz.au
-------------------------------------------------------------------
Marwan Jabri				  Email: marwan@ee.su.oz.au
SEDAL, Electrical Engineering,		      Tel: (+61-2) 692-2240
Sydney University, NSW 2006, Australia 	      Fax: (+61-2) 692-3847