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Conditional random k satisfiability modeling for k = 1, 2 (CRAN2SAT) with non-monotonic Smish activation function in discrete Hopfield neural network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Logic programming on a neural network
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Bifurcation Mechanism for Fractional-Order Three-Triangle Multi-delayed Neural Networks
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YRAN2SAT: A novel flexible random satisfiability logical rule in discrete hopfield neural network
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Binary black hole algorithm for feature selection and classification on biological data
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Grid based clustering for satisfiability solving
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Weighted Random k Satisfiability for k = 1 , 2 (r2SAT) in Discrete Hopfield Neural Network
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Timescales of Boolean satisfiability solver using continuous-time dynamical system
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New activation functions for single layer feedforward neural network
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Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks
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Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations
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Novel logic mining incorporating log linear approach
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Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection
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A weight initialization method based on neural network with asymmetric activation function
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Activation functions in deep learning: A comprehensive survey and benchmark
inferredcites →https://doi.org/10.1016/j.neunet.2012.06.006openalex-snapshot
Hopfield neural network: The hyperbolic tangent and the piecewise-linear activation functions
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Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
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Hybrid genetic algorithm in the Hopfield network for maximum 2-satisfiability problem
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Major 2 Satisfiability Logic in Discrete Hopfield Neural Network
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Performance Analysis of Various Activation Functions in Artificial Neural Networks
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Boolean satisfiability in quantum compilation
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Random Satisfiability: A Higher-Order Logical Approach in Discrete Hopfield Neural Network
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HcLSH: A Novel Non-Linear Monotonic Activation Function for Deep Learning Methods
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Novel Random k Satisfiability for in Hopfield Neural Network
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Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
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Smish: A Novel Activation Function for Deep Learning Methods
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Elliot and Symmetric Elliot Extreme Learning Machines for Gaussian Noisy Industrial Thermal Modelling
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Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization
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GRAN3SAT: Creating Flexible Higher-Order Logic Satisfiability in the Discrete Hopfield Neural Network
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Random Maximum 2 Satisfiability Logic in Discrete Hopfield Neural Network Incorporating Improved Election Algorithm
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S-Type Random k Satisfiability Logic in Discrete Hopfield Neural Network Using Probability Distribution: Performance Optimization and Analysis
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Discrete Mutation Hopfield Neural Network in Propositional Satisfiability
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Binary Whale Optimization Algorithm for Dimensionality Reduction
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Hybridised Intelligent Dynamic Model of 3-Satisfiability Fuzzy Logic Hopfield Neural Network
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Logic Learning in Hopfield Networks
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Accelerating Activation Function for 3- Satisfiability Logic Programming
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
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Nonlinear Lyapunov Energy Dynamics of Weighted 2 Satisfiability in Discrete Hopfield Neural Networks
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.engappai.2026.116314openalex-snapshot
Evolutionary optimization of neuron-state distributions for logic-driven associative memory systems
inferred← citeshttps://doi.org/10.1016/j.fraope.2026.100678openalex-snapshot
Flexible logic mining model via conditional random 2 satisfiability in discrete Hopfield neural network
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Hybrid optimization approaches for optimal and diverse solutions in discrete hopfield neural network
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Weighted systematic 2 satisfiability in the discrete hopfield neural network
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The effect of the Multi-Objective Harris Hawks Optimization algorithm integrated with Discrete Hopfield Neural Network on systematic 3 satisfiability logic
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/10.2139/ssrn.5511391openalex-snapshot
Three-Stage Optimization and Hybrid Attribute Selection for Logic Mining Based on Weighted C-Type Random 2-Satisfiability in Discrete Hopfield Neural Network
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
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