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Random Maximum 2 Satisfiability Logic in Discrete Hopfield Neural Network Incorporating Improved Election Algorithm

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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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“Neural” computation of decisions in optimization problems

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YRAN2SAT: A novel flexible random satisfiability logical rule in discrete hopfield neural network

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Prediction of temperature distribution on piston crown surface of dual-fuel engines via a hybrid neural network

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Propositional proof systems based on maximum satisfiability

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Weighted Random k Satisfiability for k = 1 , 2 (r2SAT) in Discrete Hopfield Neural Network

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A new fractional-order chaos system of Hopfield neural network and its application in image encryption

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An enhanced harmony search based algorithm for feature selection: Applications in epileptic seizure detection and prediction

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Min–max and min–max regret versions of combinatorial optimization problems: A survey

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Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis

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Graph neural network for traffic forecasting: A survey

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Mutation Hopfield neural network and its applications

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Black hole: A new heuristic optimization approach for data clustering

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Gradient-based optimizer: A new metaheuristic optimization algorithm

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Face recognition based on genetic algorithm

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Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems

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Multi-mode fusion BP neural network model with vibration and acoustic emission signals for process pipeline crack location

inferredcites →https://doi.org/10.1016/j.physleta.2011.02.068openalex-snapshot

Dynamic behaviors of a class of memristor-based Hopfield networks

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Improving flex-route transit services with modular autonomous vehicles

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A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process

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Solvable Model of a Spin-Glass

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Pattern sequence recognition using a time-varying Hopfield network

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Random Satisfiability: A Higher-Order Logical Approach in Discrete Hopfield Neural Network

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Sensing Data Supported Traffic Flow Prediction via Denoising Schemes and ANN: A Comparison

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Dynamic Robust Games in MIMO Systems

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Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

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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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Election algorithm: A new socio-politically inspired strategy

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On the Maximum Storage Capacity of the Hopfield Model

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An Application of the Associate Hopfield Network for Pattern Matching in Chart Analysis

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An Optical Image Encryption Method Using Hopfield Neural Network

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Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization

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Stability of Solutions to Systems of Nonlinear Differential Equations with Discontinuous Right-Hand Sides: Applications to Hopfield Artificial Neural Networks

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

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Discrete Mutation Hopfield Neural Network in Propositional Satisfiability

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Intelligent Natural Gas and Hydrogen Pipeline Dispatching Using the Coupled Thermodynamics-Informed Neural Network and Compressor Boolean Neural Network

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Election Algorithm for Random k Satisfiability in the Hopfield Neural Network

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Novel Hopfield Neural Network Model with Election Algorithm for Random 3 Satisfiability

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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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An optimized logic mining method for data processing through higher-order satisfiability representation in discrete hopfield neural network

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Nonlinear Lyapunov Energy Dynamics of Weighted 2 Satisfiability in Discrete Hopfield Neural Networks

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Hybrid optimization approaches for optimal and diverse solutions in discrete hopfield neural network

inferred← citeshttps://doi.org/10.1063/5.0313354openalex-snapshot

Weighted systematic 2 satisfiability in the discrete hopfield neural network

inferred← citeshttps://doi.org/10.1063/5.0316095openalex-snapshot

Negative based higher order systematic satisfiability logic in discrete hopfield neural network

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BRAN2SAT: Redundant satisfiability logic in Lyapunov-based discrete Hopfield neural network

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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm

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Recent Applications of Explainable AI (XAI): A Systematic Literature Review

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Personalised Blood Glucose Time Series Forecasting in Type 1 Diabetes: Deep Collaborative Adversarial Learning

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MTS-PRO2SAT: Hybrid Mutation Tabu Search Algorithm in Optimizing Probabilistic 2 Satisfiability in Discrete Hopfield Neural Network

inferred← citeshttps://doi.org/10.3934/math.20241087openalex-snapshot

Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability

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Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability

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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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Predicting the satisfiability of Boolean formulas by incorporating gated recurrent unit (GRU) in the Transformer framework

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