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A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network

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Outgoing claims: the papers this work cites, builds on, or argues with.

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The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode
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Greedy Algorithms for the Maximum Satisfiability Problem: Simple Algorithms and Inapproximability Bounds
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Genetic Algorithm Based Solution to SAT-3 Problem
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Novel Random k Satisfiability for in Hopfield Neural Network
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Chaotic Election Algorithm
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Designing an event management system for campus football using 3D images and machine vision
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An enhanced discrete hopfield neural network framework for random boolean satisfiability optimization viaK-medoids clustering and evolutionary learning
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111929openalex-snapshot
Dual optimization approach in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112192openalex-snapshot
Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115872openalex-snapshot
A discrete Hopfield neural network solves 3-SAT by optimizing weights based on clause-derived energy functions
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Evolutionary optimization of neuron-state distributions for logic-driven associative memory systems
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Adaptive elitism election algorithm for B-type random 2-satisfiability in discrete hopfield neural network
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Analysis of Horn 3-satisfiability logical structure in Hopfield neural network
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The effects of learning mechanism on a special satisfiability logic in discrete Hopfield neural network
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Special major 2 satisfiability logic in discrete Hopfield neural network
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Research on the Application of Election Algorithms in the GRAN3SAT
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Survival Analysis of Heart Failure Patients through Logic Mining in Discrete Hopfield Neural Network
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Three-Stage Optimization and Hybrid Attribute Selection for Logic Mining Based on Weighted C-Type Random 2-Satisfiability in Discrete Hopfield Neural Network
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