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Kohonen feature map associative memory with refractoriness based on area representation. (English) Zbl 1157.68421
Gammerman, A. (ed.), Artificial intelligence and applications. Machine learning. As part of the 26th IASTED international multi-conference on applied informatics. Calgary: International Association of Science and Technology for Development (IASTED); Anaheim, CA: Acta Press (ISBN 978-0-88986-710-9/CD-ROM). 382-387 (2008).
Summary: In this paper, we propose a Kohonen feature map associative memory with refractoriness based on area representation. This model is based on the Kohonen feature map associative memory with area representation. The proposed model can realize one-to-many associations. Moreover, this model has enough robustness for damaged neurons when analog patterns are memoriezed. We carried out a series of computer experiments and confirmed the effectiveness of the proposed model.
For the entire collection see [Zbl 1154.68012].
MSC:
68T05 Learning and adaptive systems in artificial intelligence
68T10 Pattern recognition, speech recognition
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