Gradient descent learning rule for complex‐valued associative memories with large constant terms (English)
- New search for: Kobayashi, Masaki
- New search for: Kobayashi, Masaki
In:
IEEJ transactions on electrical and electronic engineering
;
11
, 3
; 357-363
;
2016
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ISSN:
- Article (Journal) / Print
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Title:Gradient descent learning rule for complex‐valued associative memories with large constant terms
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Contributors:Kobayashi, Masaki ( author )
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Published in:IEEJ transactions on electrical and electronic engineering ; 11, 3 ; 357-363
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Publisher:
- New search for: Wiley Subscription Services
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Place of publication:Hoboken, NJ
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Publication date:2016
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 53.00 / 53.00
- Further information on Basic classification
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Source:
Table of contents – Volume 11, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Issue Information ‐ TOC| 2016
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Issue Information ‐ Aims and Scope| 2016
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Design of a qualitative classification model through fuzzy support vector machine with type‐2 fuzzy expected regression classifier presetWei, Yicheng / Watada, Junzo / Pedrycz, Witold et al. | 2016
- 357
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Gradient descent learning rule for complex‐valued associative memories with large constant termsKobayashi, Masaki et al. | 2016
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