Non-Iterative Recovery Information Procedure with Database Inspired in Hopfield Neural Networks

This work establishes a simple algorithm to recover an information vector from a predefined database available every time. It is considered that the information analyzed may be incomplete, damaged, or corrupted. This algorithm is inspired by Hopfield Neural Networks (HNN), which allows the recursive...

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Bibliographic Details

Published in:	Computation
Main Authors:	Cesar U. Solis, Jorge Morales, Carlos M. Montelongo
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	non-iterative algorithms recovery information artificial neural networks hopfield networks
Online Access:	https://www.mdpi.com/2079-3197/13/4/95