Antisymmetrical neural networks

E. Goles

doi:10.1016/0166-218X(86)90073-9

Antisymmetrical neural networks

E. Goles

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

Let F be a function from {-1,1}ⁿ into itself, whose components are antisymmetric sign functions. We give bounds on the cycle and transient length for parallel iteration on F.

Original language	English
Pages (from-to)	97-100
Number of pages	4
Journal	Discrete Applied Mathematics
Volume	13
Issue number	1
DOIs	https://doi.org/10.1016/0166-218X(86)90073-9
State	Published - Jan 1986
Externally published	Yes

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title = "Antisymmetrical neural networks",

abstract = "Let F be a function from \{-1,1\}n into itself, whose components are antisymmetric sign functions. We give bounds on the cycle and transient length for parallel iteration on F.",

author = "E. Goles",

note = "Funding Information: support from FNC is gratefully acknowledged.",

year = "1986",

month = jan,

doi = "10.1016/0166-218X(86)90073-9",

language = "English",

volume = "13",

pages = "97--100",

journal = "Discrete Applied Mathematics",

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publisher = "Elsevier B.V.",

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T1 - Antisymmetrical neural networks

AU - Goles, E.

N1 - Funding Information: support from FNC is gratefully acknowledged.

PY - 1986/1

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N2 - Let F be a function from {-1,1}n into itself, whose components are antisymmetric sign functions. We give bounds on the cycle and transient length for parallel iteration on F.

AB - Let F be a function from {-1,1}n into itself, whose components are antisymmetric sign functions. We give bounds on the cycle and transient length for parallel iteration on F.

UR - https://www.scopus.com/pages/publications/0022466554

U2 - 10.1016/0166-218X(86)90073-9

DO - 10.1016/0166-218X(86)90073-9

M3 - Article

AN - SCOPUS:0022466554

SN - 0166-218X

VL - 13

SP - 97

EP - 100

JO - Discrete Applied Mathematics

JF - Discrete Applied Mathematics

IS - 1

ER -

Antisymmetrical neural networks

Abstract

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