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From ml-connectionists-request@q.cs.cmu.edu Fri May 21 15:13:58 1993
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Subject: Surface Classification (paper available)
To: connectionists@cs.cmu.edu
From: "Uwe R. Zimmer, AG vP" <uzimmer@informatik.uni-kl.de>
Date: Fri, 21 May 93 11:47:37 +0100
Message-Id: <930521.114737.251@informatik.uni-kl.de>
Status: R
New paper in neuroprose archive available:
SPIN - Learning and Forgetting Surface Classifications
with Dynamic Neural Networks
Herman Keuchel, Ewald von Puttkamer & Uwe R. Zimmer
This paper refers to the problem of adaptability over an infinite
period of time, regarding dynamic networks. A never ending flow of
examples have to be clustered, based on a distance-measure. The
developed model is based on the self-organizing feature maps of
Kohonen [6], [7] and some adaptations by Fritzke [3]. The problem
of dynamic surface classification is embedded in the SPIN project,
where sub-symbolic abstractions, based on a 3-d scanned environment
is being done.
Sorry - no hardcopys available.
FTP-information:
Neuroprose archive is: archive.cis.ohio-state.edu
Directory is : pub/neuroprose
File name is : zimmer.learning_surfaces.ps.Z
Mode is : binary
-----------------------------------------------------
-----
Uwe R. Zimmer ---
University of Kaiserslautern - Computer Science Department |
Research Group Prof. v. Puttkamer |
6750 Kaiserslautern - Germany |
-------------------------------------------------------------- |
P.O.Box:3049 | Phone:+49 631 205 2624 | Fax:+49 631 205 2803 |
-----------------------------------------------------
-----
Uwe R. Zimmer ---
University of Kaiserslautern - Computer Science Department |
Research Group Prof. v. Puttkamer |
6750 Kaiserslautern - Germany |
-------------------------------------------------------------- |
P.O.Box:3049 | Phone:+49 631 205 2624 | Fax:+49 631 205 2803 |