Asymmetric neural networks with multispin interactions

I. Kanter

Asymmetric neural networks with multispin interactions

I. Kanter

Department of Physics - at Bar-Ilan University

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

Abstract

A dilute nonsymmetric ferromagnetic neural network with multispin interactions and a version of the Hopfield model with multispin interactions are solved in the limit where the average number of inputs per spin is finite. It is found that in such asymmetric systems the critical exponents of local quantities can take a few different values, instead of just one.

Original language	American English
Journal	Physical Review A (Atomic, Molecular and Optical Physics)
Volume	38
Issue number	11
State	Published - 1988

Cite this

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abstract = "A dilute nonsymmetric ferromagnetic neural network with multispin interactions and a version of the Hopfield model with multispin interactions are solved in the limit where the average number of inputs per spin is finite. It is found that in such asymmetric systems the critical exponents of local quantities can take a few different values, instead of just one.",

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AB - A dilute nonsymmetric ferromagnetic neural network with multispin interactions and a version of the Hopfield model with multispin interactions are solved in the limit where the average number of inputs per spin is finite. It is found that in such asymmetric systems the critical exponents of local quantities can take a few different values, instead of just one.

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JO - Physical Review A (Atomic, Molecular and Optical Physics)

JF - Physical Review A (Atomic, Molecular and Optical Physics)

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Asymmetric neural networks with multispin interactions

Abstract

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