Associative memories in infinite dimensional spaces

A generalization of the Little-Hopfield neural network model for associative memories is presented that considers the case of a continuum of processing units. The state space corresponds to an infinite dimensional euclidean space. A dynamics is proposed that minimizes an energy functional that is a...

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Detalles Bibliográficos
Autores principales: Segura, E.C., Perazzo, R.P.J.
Formato: JOUR
Materias:
Associative storage
Correlation methods
State space methods
Autocorrelation
Glauber dynamics
Hopfield models
Infinite dimensional euclidean space
Neural networks
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_13704621_v12_n2_p129_Segura
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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