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Title

Engram decay in artificial neural networks

Author(s)

Copland, Howard;  Hendtlass, Tim

Abstract

In this paper the process of forgetting, termed 'engram decay', in artificial neural networks is examined for three classes of networks: the self organizing map, fuzzy logic adaptive resonance theory and, maximally connected backpropagation networks. All networks were trained to categorize three varieties of iris. How iris categories are forgotten is shown to be strongly related to the distribution of iris categories in feature space.

Publication type

Conference paper

Research centre

Swinburne University of Technology. School of Biophysical Sciences and Electrical Engineering. Centre for Intelligent Systems

Source

Proceedings IEEE International Conference on Neural Networks (ICNN-95), Perth, Western Australia, Australia, 27 November-01 December 1995, p. 669-674

Publication year

1995

Keyword(s)

Adaptive resonance theory;  ART neural nets;  Backpropagation;  Engram decay;  Feature space;  Feedforward neural nets;  Forgetting process;  Fuzzy logic;  Fuzzy neural nets;  Iris categories;  Learning;  Self-organising feature maps

Publisher

IEEE

ISBN

0780327683

Publisher URL

http://dx.doi.org/10.1109/ICNN.1995.488260

Copyright

Copyright © 1995 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed