Self-organizing multi-layer semantic maps

Hiroyuki Ichiki, Masafumi Hagiwara, Masao Nakagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Self-organizing multilayer semantic maps are proposed. Three-layer models are simulated using two examples. Since the proposed networks are multilayer type, they can do higher-level information processing compared with the conventional minimal two-layer semantic maps. The computer simulation results indicate the effectiveness of the proposed maps. The maps can do hierarchical self-classification both in a self-organizing symbol map and in a role-based semantic map.

Original languageEnglish
Title of host publicationProceedings. IJCNN-91-Seattle
Subtitle of host publicationInternational Joint Conference on Neural Networks
Editors Anon
PublisherPubl by IEEE
Number of pages4
ISBN (Print)0780301641
Publication statusPublished - 1991 Dec 1
Externally publishedYes
EventInternational Joint Conference on Neural Networks - IJCNN-91-Seattle - Seattle, WA, USA
Duration: 1991 Jul 81991 Jul 12

Publication series

NameProceedings. IJCNN-91-Seattle: International Joint Conference on Neural Networks


OtherInternational Joint Conference on Neural Networks - IJCNN-91-Seattle
CitySeattle, WA, USA

ASJC Scopus subject areas

  • Engineering(all)


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