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Cited by 474

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements

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Amari, S.-I.·1972·IEEE Transactions on Computers

Abstract

Various information-processing capabilities of self-organizing nets of threshold elements are studied. A self-organizing net, learning from patterns or pattern sequences given from outside as stimuli, "remembers" some of them as stable equilibrium states or state-transition sequences of the net. A condition where many patterns and pattern sequences are remembered in a net at the same time is shown. The stability degree of their remembrance and recalling under noise disturbances is investigated theoretically. For this purpose, the stability of state transition in an autonomous logical net of threshold elements is studied by the use of characteristics of threshold elements.

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Metadata

Authors
Amari, S.-I.
Venue
IEEE Transactions on Computers
Published
1972-11
Volume
C-21
Issue
11
Pages
1197-1206
ISSN
  • 0018-9340 (ISSN-L)
  • 1557-9956
  • 2326-3814
OpenAlex
W2149413876
Cited by
474
References
10
FWCI
3.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements. https://app.cochat.ai/papers/10.1109/t-c.1972.223477
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Amari, S.-I. (1972). Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements. IEEE Transactions on Computers. https://doi.org/10.1109/t-c.1972.223477

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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