S-Type Random <i>k</i> Satisfiability Logic in Discrete Hopfield Neural Network Using Probability Distribution: Performance Optimization and Analysis

Recently, a variety of non-systematic satisfiability studies on Discrete Hopfield Neural Networks have been introduced to overcome a lack of interpretation. Although a flexible structure was established to assist in the generation of a wide range of spatial solutions that converge on global minima,...

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Autori principali:	Suad Abdeen, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Gaeithry Manoharam, Mohd. Asyraf Mansor, Nada Alshehri
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-02-01
Serie:	Mathematics
Soggetti:	discrete hopfield neural network non-systematic satisfiability probability distribution binomial distribution statistical learning optimization problems
Accesso online:	https://www.mdpi.com/2227-7390/11/4/984
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