Higher order Weighted Random k Satisfiability ($k = 1, 3$) in Discrete Hopfield Neural Network

Researchers have explored various non-systematic satisfiability approaches to enhance the interpretability of Discrete Hopfield Neural Networks. A flexible framework for non-systematic satisfiability has been developed to investigate diverse logical structures across dimensions and has improved the...

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Bibliographic Details
Published in:AIMS Mathematics
Main Authors: Xiaoyan Liu, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Yunjie Chang, Suad Abdeen, Yuan Gao
Format: Article
Language:English
Published: AIMS Press 2025-01-01
Subjects:
weighted random $k$ satisfiability
non-systematic satisfiability
discrete hopfield neural network
optimization problem
global solution
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2025009

Internet

https://www.aimspress.com/article/doi/10.3934/math.2025009

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