Paper announcement

[Guszti Bartfai]

The following paper has been accepted for publication in the journal
"Neural Networks".

Title:    On the Match Tracking Anomaly of the ARTMAP Neural Network

Author:   Guszti Bartfai
          Department of Computer Science
          Victoria University of Wellington
          New Zealand

Abstract:

   This article analyses the {\em match tracking anomaly} ({\em MTA})
   of the ARTMAP neural network. The anomaly arises when an input
   pattern exactly matches its category prototype that the network has
   previously learned, and the network generates a prediction (through
   a previously learned associative link) that contradicts the output
   category that was selected upon presentation of the corresponding
   target output. Carpenter at al.\ claimed that such anomalous
   situation will never arise if the (binary) input vectors have the
   same number of 1's [Carpenter91].

   This paper shows that such situations {\em can} in fact occur. The
   {\em timing} according to which inputs are presented to the network
   in each learning trial is crucial: if the target output is
   presented to the network {\em before} the corresponding input
   pattern, certain pattern sequences will lead the network to the
   {\em MTA}. Two kinds of {\em MTA} are distinguished: one that is
   independent of the choice parameter ($\beta$) of the ART$_b$
   module, and another that is not. Results of experiments that were
   carried out on a machine learning database demonstrate the
   existence of the match tracking anomaly as well as support the
   analytical results presented here.

Reference:

[Carpenter91]
   Author = "G.A. Carpenter and S. Grossberg and J.H. Reynolds",
   Title = "{ARTMAP: Supervised Real-Time Learning and Classification of
           Nonstationary Data by a Self-Organizing Neural Network}",
   Journal = "Neural Networks",
   Year = 1991,
   Volume = 4,
   Pages = "565--588",

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The paper is available by anonymous FTP (24 pages, 88k).

Full WWW access path:

   ftp://ftp.comp.vuw.ac.nz/doc/vuw-publications/CS-TR-95/CS-TR-95-1.ps.gz


FTP instructions:

% ftp ftp.comp.vuw.ac.nz
Name: anonymous
Password: <your email address>
ftp> cd doc/vuw-publications/CS-TR-95
ftp> binary
ftp> get CS-TR-95-1.ps.gz
ftp> quit
% gunzip CS-TR-95-1.ps.gz
% lpr CS-TR-95-1.ps


Any comments are welcome.

Guszti Bartfai
http://www.comp.vuw.ac.nz/~guszti/