Learning and Forgetting Surface Classifications with Dynamic Neural Networks
ICANN '93, Amsterdam, The Netherlands, September 13-16, 1993
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 and some adaptations by Fritzke. 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.
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