Nonlinearities in Artificial Neural Systems Interpreted as an Application of Ising Physics
Articles
A. Garliauskas
Institute of Mathematics and Informatics, Lithuania
Published 2006-11-01
https://doi.org/10.15388/NA.2006.11.4.14739
PDF

Keywords

spin glass
ising spin systems
nonlinearities
Hamiltonian function

How to Cite

Garliauskas, A. (2006) “Nonlinearities in Artificial Neural Systems Interpreted as an Application of Ising Physics”, Nonlinear Analysis: Modelling and Control, 11(4), pp. 367–383. doi:10.15388/NA.2006.11.4.14739.

Abstract

In this review, the nonlinearities in different processes such as spin glasses, finite field models, Hamiltonian functions, learning and storing capabilities, mean field systems and others in the area of physics related to the artificial neural networks namely the main brain structure interpreted as Ising spin systems are discussed. It is shown that nonlinearities serve as exclusive role in the applied physics field.

PDF

Downloads

Download data is not yet available.