Property of the Degree of Pattern Separation in a Two-Layer Random Neural Net with Inhibitory Connections
Summary :
We reveal that the degree of pattern separation in a two-layer random neural net with inhibitory connection has a favorable property for pattern classification. We also consider the effect of the number of connections between the two layers on the above property.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E63-E No.8 pp.590-591
- Publication Date
- 1980/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Miscellaneous
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Toyoshi TORIOKA, "Property of the Degree of Pattern Separation in a Two-Layer Random Neural Net with Inhibitory Connections" in IEICE TRANSACTIONS on transactions,
vol. E63-E, no. 8, pp. 590-591, August 1980, doi: .
Abstract: We reveal that the degree of pattern separation in a two-layer random neural net with inhibitory connection has a favorable property for pattern classification. We also consider the effect of the number of connections between the two layers on the above property.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e63-e_8_590/_p
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@ARTICLE{e63-e_8_590,
author={Toyoshi TORIOKA, },
journal={IEICE TRANSACTIONS on transactions},
title={Property of the Degree of Pattern Separation in a Two-Layer Random Neural Net with Inhibitory Connections},
year={1980},
volume={E63-E},
number={8},
pages={590-591},
abstract={We reveal that the degree of pattern separation in a two-layer random neural net with inhibitory connection has a favorable property for pattern classification. We also consider the effect of the number of connections between the two layers on the above property.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Property of the Degree of Pattern Separation in a Two-Layer Random Neural Net with Inhibitory Connections
T2 - IEICE TRANSACTIONS on transactions
SP - 590
EP - 591
AU - Toyoshi TORIOKA
PY - 1980
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E63-E
IS - 8
JA - IEICE TRANSACTIONS on transactions
Y1 - August 1980
AB - We reveal that the degree of pattern separation in a two-layer random neural net with inhibitory connection has a favorable property for pattern classification. We also consider the effect of the number of connections between the two layers on the above property.
ER -
English
