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- Engram decay in artificial neural networks
- Copland, Howard; Hendtlass, Tim
- 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
- Proceedings IEEE International Conference on Neural Networks (ICNN-95), Perth, Western Australia, Australia, 27 November-01 December 1995, p. 669-674
- Publication year
- 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
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