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

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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Bibliographic Details
Main Authors: Suad Abdeen, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Gaeithry Manoharam, Mohd. Asyraf Mansor, Nada Alshehri
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
discrete hopfield neural network
non-systematic satisfiability
probability distribution
binomial distribution
statistical learning
optimization problems
Online Access:https://www.mdpi.com/2227-7390/11/4/984

Internet

https://www.mdpi.com/2227-7390/11/4/984

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