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GRAN3SAT: Creating Flexible Higher-Order Logic Satisfiability in the Discrete Hopfield Neural Network

https://doi.org/10.3390/math10111899
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What this work says

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

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Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1080/00207160.2021.1939870openalex-snapshot
Major 2 Satisfiability Logic in Discrete Hopfield Neural Network
inferredcites →https://doi.org/10.1109/72.536306openalex-snapshot
Color image processing in a cellular neural-network environment
inferredcites →https://doi.org/10.1109/access.2021.3068998openalex-snapshot
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inferredcites →https://doi.org/10.1155/2013/873670openalex-snapshot
Chaotic Hopfield Neural Network Swarm Optimization and Its Application
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The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
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Discrete Hopfield Neural Network in Restricted Maximum k-Satisfiability Logic Programming
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Novel Random k Satisfiability for in Hopfield Neural Network
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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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A multi-objective whale optimization for solving combinatorial optimization problems via Hopfield neural networks
inferred← citeshttps://doi.org/10.1007/s12065-024-00936-5openalex-snapshot
J-type random 2,3 satisfiability: a higher-order logical rule in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.advengsoft.2022.103355openalex-snapshot
PRO2SAT: Systematic Probabilistic Satisfiability logic in Discrete Hopfield Neural Network
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.2025.113759openalex-snapshot
An optimized logic mining method for data processing through higher-order satisfiability representation in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.eij.2026.101030openalex-snapshot
JSATRA: topology based logic mining using discrete hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111760openalex-snapshot
Weighted C-type random 2 satisfiability in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122307openalex-snapshot
A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of Modified Niched Genetic Algorithm
inferred← citeshttps://doi.org/10.1063/5.0192155openalex-snapshot
Modelling logic mining: A log-linear approach
inferred← citeshttps://doi.org/10.1063/5.0192171openalex-snapshot
S-type random 2 satisfiability logic integrated in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0192172openalex-snapshot
Flexible satisfiability in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0192177openalex-snapshot
Special major 2 satisfiability logic in discrete Hopfield neural network
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Exploring the efficacy of a supervised learning approach in 3 satisfiability reverse analysis method
inferred← citeshttps://doi.org/10.1063/5.0223840openalex-snapshot
Flexibility of S-type random K satisfiability in hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0224838openalex-snapshot
Weighted C-type random 2 satisfiability in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0225360openalex-snapshot
Logic mining model in 3-satisfiability reverse analysis into discrete hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0313355openalex-snapshot
A comparative performance analysis of random 3-Satisfiability in discrete hopfield neural network with different updating rules
inferred← citeshttps://doi.org/10.1063/5.0316095openalex-snapshot
Negative based higher order systematic satisfiability logic in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1093/jcde/qwaf039openalex-snapshot
BRAN2SAT: Redundant satisfiability logic in Lyapunov-based discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1109/cbase64041.2024.10824377openalex-snapshot
Research on the Application of Election Algorithms in the GRAN3SAT
inferred← citeshttps://doi.org/10.11113/mjfas.v18n6.2661openalex-snapshot
Artificial Bee Colony for Logic Mining in Credit Scoring
inferred← citeshttps://doi.org/10.1145/3590003.3590021openalex-snapshot
Estimation of Distribution Algorithm with Discrete Hopfield Neural Network for GRAN3SAT Analysis
inferred← citeshttps://doi.org/10.1145/3590003.3590024openalex-snapshot
Genetic algorithm in hopfield neural network with probabilistic 2 satisfiability
inferred← citeshttps://doi.org/10.23939/mmc2025.02.468openalex-snapshot
Weighted random 3-satisfiability in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.32604/cmc.2023.032654openalex-snapshot
Modified 2 Satisfiability Reverse Analysis Method via Logical Permutation燨perator
inferred← citeshttps://doi.org/10.3390/axioms12030250openalex-snapshot
Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
inferred← citeshttps://doi.org/10.3390/math10244734openalex-snapshot
Random Maximum 2 Satisfiability Logic in Discrete Hopfield Neural Network Incorporating Improved Election Algorithm
inferred← citeshttps://doi.org/10.3390/math11040984openalex-snapshot
S-Type Random k Satisfiability Logic in Discrete Hopfield Neural Network Using Probability Distribution: Performance Optimization and Analysis
inferred← citeshttps://doi.org/10.3934/math.20241444openalex-snapshot
Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability
inferred← citeshttps://doi.org/10.3934/math.2024193openalex-snapshot
Conditional random k satisfiability modeling for k = 1, 2 (CRAN2SAT) with non-monotonic Smish activation function in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.3934/math.2024591openalex-snapshot
Special major 1, 3 satisfiability logic in discrete Hopfield neural networks
inferred← citeshttps://doi.org/10.3934/math.2025009openalex-snapshot
Higher order Weighted Random k Satisfiability ($k = 1, 3$) in Discrete Hopfield Neural Network
inferred← citeshttps://doi.org/10.3934/math.2026621openalex-snapshot
Multi-objective optimization via hybrid exhaustive search with intelligent mutation for major 2 satisfiability in Discrete Hopfield Neural Networks
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