On the public citation graph

Discrete Mutation Hopfield Neural Network in Propositional Satisfiability

https://doi.org/10.3390/math7111133
0 signed · 133 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/etep.1854openalex-snapshot
A hybrid Univariate Marginal Distribution Algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates
inferredcites →https://doi.org/10.1002/int.4550070604openalex-snapshot
Logic programming on a neural network
inferredcites →https://doi.org/10.1007/978-3-319-07124-4_28openalex-snapshot
Genetic Algorithms
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1007/s00453-017-0312-6openalex-snapshot
Simple Approximation Algorithms for Balanced MAX 2SAT
inferredcites →https://doi.org/10.1007/s10732-012-9208-4openalex-snapshot
A review on probabilistic graphical models in evolutionary computation
inferredcites →https://doi.org/10.1007/s11269-016-1274-1openalex-snapshot
A Genetic Algorithm Parallel Strategy for Optimizing the Operation of Reservoir with Multiple Eco-environmental Objectives
inferredcites →https://doi.org/10.1016/0375-9601(93)91035-4openalex-snapshot
The logic of neural networks
inferredcites →https://doi.org/10.1016/0893-6080(96)00017-2openalex-snapshot
An Investigation into the Improvement of Local Minima of the Hopfield Network
inferredcites →https://doi.org/10.1016/j.aca.2018.11.029openalex-snapshot
Inverted mirror image molecular beacon-based three concatenated logic gates to detect p53 tumor suppressor gene
inferredcites →https://doi.org/10.1016/j.amc.2018.07.037openalex-snapshot
Estimation distribution algorithms on constrained optimization problems
inferredcites →https://doi.org/10.1016/j.asoc.2015.10.056openalex-snapshot
A hybrid approach based on stochastic competitive Hopfield neural network and efficient genetic algorithm for frequency assignment problem
inferredcites →https://doi.org/10.1016/j.asoc.2019.04.016openalex-snapshot
Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction
inferredcites →https://doi.org/10.1016/j.camwa.2010.03.061openalex-snapshot
Pattern recall analysis of the Hopfield neural network with a genetic algorithm
inferredcites →https://doi.org/10.1016/j.cie.2019.02.039openalex-snapshot
A hybrid multi-objective EDA for robust resource constraint project scheduling with uncertainty
inferredcites →https://doi.org/10.1016/j.cor.2008.08.012openalex-snapshot
On the performance of the LP-guided Hopfield network-genetic algorithm
inferredcites →https://doi.org/10.1016/j.dam.2018.11.025openalex-snapshot
A hybrid and exploratory approach to knowledge discovery in metabolomic data
inferredcites →https://doi.org/10.1016/j.ecolmodel.2018.11.013openalex-snapshot
Evolutionary algorithms for species distribution modelling: A review in the context of machine learning
inferredcites →https://doi.org/10.1016/j.engappai.2018.02.002openalex-snapshot
Inter-domain routing for communication networks using Hierarchical Hopfield Neural Networks
inferredcites →https://doi.org/10.1016/j.eswa.2018.12.033openalex-snapshot
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
inferredcites →https://doi.org/10.1016/j.hydromet.2007.07.003openalex-snapshot
Reductive dissolution of manganese ore in sulfuric acid in the presence of iron metal
inferredcites →https://doi.org/10.1016/j.ijrobp.2018.01.114openalex-snapshot
Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function
inferredcites →https://doi.org/10.1016/j.ins.2010.08.007openalex-snapshot
Mutation Hopfield neural network and its applications
inferredcites →https://doi.org/10.1016/j.ins.2017.09.031openalex-snapshot
Multi-objective optimization for modular granular neural networks applied to pattern recognition
inferredcites →https://doi.org/10.1016/j.ins.2019.01.023openalex-snapshot
An efficient recommendation generation using relevant Jaccard similarity
inferredcites →https://doi.org/10.1016/j.jal.2014.11.011openalex-snapshot
A logic for diffusion in social networks
inferredcites →https://doi.org/10.1016/j.jlamp.2019.02.001openalex-snapshot
Model checking and synthesis for branching multi-weighted logics
inferredcites →https://doi.org/10.1016/j.matpr.2018.02.207openalex-snapshot
A Comparative Investigation of Similarity Coefficients Applied to the Cell Formation Problem using Hybrid Clustering Algorithms
inferredcites →https://doi.org/10.1016/j.mbs.2018.08.004openalex-snapshot
Uncertainty, imprecision, and many-valued logics in protein bioinformatics
inferredcites →https://doi.org/10.1016/j.measurement.2018.12.083openalex-snapshot
Evolutionary correlated gravitational search algorithm (ECGS) with genetic optimized Hopfield neural network (GHNN) – A hybrid expert system for diagnosis of diabetes
inferredcites →https://doi.org/10.1016/j.micpro.2018.06.007openalex-snapshot
Enhanced architecture for programmable logic controllers targeting performance improvements
inferredcites →https://doi.org/10.1016/j.mineng.2018.12.011openalex-snapshot
Flotation froth image recognition with convolutional neural networks
inferredcites →https://doi.org/10.1016/j.neucom.2012.10.043openalex-snapshot
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm
inferredcites →https://doi.org/10.1016/j.neucom.2016.07.065openalex-snapshot
A novel memristive Hopfield neural network with application in associative memory
inferredcites →https://doi.org/10.1016/j.neucom.2016.08.090openalex-snapshot
Mixed-signal VLSI neural network based on Continuous Valued Number System
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.111openalex-snapshot
Noise-modulated neural networks as an application of stochastic resonance
inferredcites →https://doi.org/10.1016/j.neucom.2017.02.044openalex-snapshot
Symmetric quaternionic Hopfield neural networks
inferredcites →https://doi.org/10.1016/j.neunet.2017.04.009openalex-snapshot
Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses
inferredcites →https://doi.org/10.1016/j.neunet.2018.07.010openalex-snapshot
A new mechanical approach to handle generalized Hopfield neural networks
inferredcites →https://doi.org/10.1016/j.physleta.2010.12.001openalex-snapshot
Inverse freezing in the Hopfield fermionic Ising spin glass with a transverse magnetic field
inferredcites →https://doi.org/10.1016/j.procs.2018.01.087openalex-snapshot
Self-modeling in Hopfield Neural Networks with Continuous Activation Function
inferredcites →https://doi.org/10.1016/j.swevo.2018.02.014openalex-snapshot
Information fusion in offspring generation: A case study in DE and EDA
inferredcites →https://doi.org/10.1016/j.tcs.2017.08.025openalex-snapshot
Circuit satisfiability and constraint satisfaction around Skolem Arithmetic
inferredcites →https://doi.org/10.1016/j.tcs.2019.01.001openalex-snapshot
Tomographic reconstruction of 2-convex polyominoes using dual Horn clauses
inferredcites →https://doi.org/10.1016/j.tcs.2019.03.027openalex-snapshot
The Boolean SATisfiability Problem in Clifford algebra
inferredcites →https://doi.org/10.1016/j.trc.2018.12.008openalex-snapshot
A copula-based estimation of distribution algorithm for calibration of microscopic traffic models
inferredcites →https://doi.org/10.1063/1.4954543openalex-snapshot
Performance analysis of activation function in higher order logic programming
inferredcites →https://doi.org/10.1063/1.4954544openalex-snapshot
Accelerating activation function in higher order logic programming
inferredcites →https://doi.org/10.1063/1.5041552openalex-snapshot
Maximum 2 satisfiability logical rule in restrictive learning environment
inferredcites →https://doi.org/10.1063/1.5041638openalex-snapshot
Linear kernel Hopfield neural network approach in horn clause programming
inferredcites →https://doi.org/10.1080/00207543.2015.1041575openalex-snapshot
A hybrid differential evolution and estimation of distribution algorithm based on neighbourhood search for job shop scheduling problems
inferredcites →https://doi.org/10.1109/tcsii.2008.922373openalex-snapshot
Hopfield Neural Network Based on Estimation of Distribution for Two-Page Crossing Number Problem
inferredcites →https://doi.org/10.17576/jsm-2018-4706-30openalex-snapshot
Discrete Hopfield Neural Network in Restricted Maximum k-Satisfiability Logic Programming
inferredcites →https://doi.org/10.3390/e20080583openalex-snapshot
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
inferredcites →https://doi.org/10.3390/math5040072openalex-snapshot
Wavelet Neural Network Model for Yield Spread Forecasting
inferredcites →https://doi.org/10.3390/math6110242openalex-snapshot
Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing
inferredcites →https://doi.org/10.3390/math7010101openalex-snapshot
Stability Analysis of Quaternion-Valued Neutral-Type Neural Networks with Time-Varying Delay
inferredcites →https://doi.org/10.3390/math7030262openalex-snapshot
A Neural Network Approximation Based on a Parametric Sigmoidal Function
inferredcites →https://doi.org/10.3390/math7060494openalex-snapshot
Economic Machine-Learning-Based Predictive Control of Nonlinear Systems
inferredcites →https://doi.org/10.3390/math7060531openalex-snapshot
Intelligence in Tourism Management: A Hybrid FOA-BP Method on Daily Tourism Demand Forecasting with Web Search Data
inferredcites →https://doi.org/10.3390/s19030710openalex-snapshot
Gesture Prediction Using Wearable Sensing Systems with Neural Networks for Temporal Data Analysis
inferredcites →https://doi.org/10.5391/ijfis.2018.18.4.263openalex-snapshot
Subplanner Algorithm to Escape from Local Minima for Artificial Potential Function Based Robotic Path Planning
inferredcites →https://doi.org/10.5539/mas.v10n1p154openalex-snapshot
Mean Field Theory in Doing Logic Programming Using Hopfield Network
inferredcites →https://doi.org/10.5815/ijisa.2016.10.05openalex-snapshot
Accelerating Activation Function for 3- Satisfiability Logic Programming
inferredcites →https://doi.org/10.7763/ijapm.2011.v1.25openalex-snapshot
Learning Rules Comparison in Neuro-SymbolicIntegration

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-04028-3_5openalex-snapshot
Solving HornSAT Fuzzy Logic Neuro-symbolic Integration
inferred← citeshttps://doi.org/10.1007/978-3-031-04028-3_6openalex-snapshot
3SAT and Fuzzy-HornSAT in Hopfield Neural Network
inferred← citeshttps://doi.org/10.1007/s00521-022-07541-6openalex-snapshot
Multi-discrete genetic algorithm in hopfield neural network with weighted random k satisfiability
inferred← citeshttps://doi.org/10.1007/s00521-025-11759-5openalex-snapshot
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.2022.103169openalex-snapshot
YRAN2SAT: A novel flexible random satisfiability 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.2022.109132openalex-snapshot
Dynamic forecasting of the Shanghai Stock Exchange index movement using multiple types of investor sentiment
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109312openalex-snapshot
Weighted Random k Satisfiability for k = 1 , 2 (r2SAT) 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.chaos.2023.114302openalex-snapshot
Numerical investigation and deep learning approach for fractal–fractional order dynamics of Hopfield neural network model
inferred← citeshttps://doi.org/10.1016/j.cie.2025.111200openalex-snapshot
Logic mining method via hybrid discrete hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.cjph.2026.07.020openalex-snapshot
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.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/10.1016/j.fraope.2026.100678openalex-snapshot
Flexible logic mining model via conditional random 2 satisfiability in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.08.026openalex-snapshot
Novel logic mining incorporating log linear approach
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133798openalex-snapshot
Adaptive elitism election algorithm for B-type random 2-satisfiability in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0078318openalex-snapshot
A comparative analysis of satisfiability logical structure in Discrete Hopfield Neural Network
inferred← citeshttps://doi.org/10.1063/5.0078725openalex-snapshot
A study of various major 2 satisfiability logic structure in Discrete Hopfield Neural Network
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/10.1063/5.0192174openalex-snapshot
Analysis of Horn 3-satisfiability logical structure in Hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0192176openalex-snapshot
The effects of learning mechanism on a special satisfiability logic in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0192177openalex-snapshot
Special major 2 satisfiability logic in discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0194528openalex-snapshot
Analysis of logic satisfiability in energy based discrete Hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0194530openalex-snapshot
Non-systematic weighted random satisfiability in discrete Hopfield neural network using binary NAND - artificial bee colony
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/10.1063/5.0312806openalex-snapshot
Hybrid optimization approaches for optimal and diverse solutions in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0312907openalex-snapshot
Pattern extraction from medical dataset via permutation 3-satisfiability reverse analysis method in discrete hopfield neural network
inferred← citeshttps://doi.org/10.1063/5.0316087openalex-snapshot
Logic mining approaches in designing THICAPA for Alzheimer’s disease
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/10.1080/00207160.2021.1939870openalex-snapshot
Major 2 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/access.2021.3068998openalex-snapshot
Random Satisfiability: A Higher-Order Logical Approach in Discrete Hopfield Neural Network
inferred← citeshttps://doi.org/10.1145/3590003.3590024openalex-snapshot
Genetic algorithm in hopfield neural network with probabilistic 2 satisfiability
inferred← citeshttps://doi.org/10.1155/2021/6664569openalex-snapshot
Geometric Regularized Hopfield Neural Network for Medical Image Enhancement
inferred← citeshttps://doi.org/10.17576/jsm-2020-4911-23openalex-snapshot
Novel Random k Satisfiability for in Hopfield Neural Network
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/e22060596openalex-snapshot
Amazon Employees Resources Access Data Extraction via Clonal Selection Algorithm and Logic Mining Approach
inferred← citeshttps://doi.org/10.3390/e23010040openalex-snapshot
Energy Based Logic Mining Analysis with Hopfield Neural Network for Recruitment Evaluation
inferred← citeshttps://doi.org/10.3390/electronics11193034openalex-snapshot
Two-Neuron Based Memristive Hopfield Neural Network with Synaptic Crosstalk
inferred← citeshttps://doi.org/10.3390/machines12050329openalex-snapshot
Clearance Nonlinear Control Method of Electro-Hydraulic Servo System Based on Hopfield Neural Network
inferred← citeshttps://doi.org/10.3390/math10060915openalex-snapshot
Supervised Learning Perspective in Logic Mining
inferred← citeshttps://doi.org/10.3390/math10071129openalex-snapshot
Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization
inferred← citeshttps://doi.org/10.3390/math10111899openalex-snapshot
GRAN3SAT: Creating Flexible Higher-Order Logic Satisfiability in the Discrete Hopfield Neural Network
inferred← citeshttps://doi.org/10.3390/math10121963openalex-snapshot
A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network
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/10.3390/math11092121openalex-snapshot
Log-Linear-Based Logic Mining with Multi-Discrete Hopfield Neural Network
inferred← citeshttps://doi.org/10.3390/pr8020214openalex-snapshot
Systematic Boolean Satisfiability Programming in Radial Basis Function Neural Network
inferred← citeshttps://doi.org/10.3390/pr8050568openalex-snapshot
Election Algorithm for Random k Satisfiability in the Hopfield Neural Network
inferred← citeshttps://doi.org/10.3390/pr9081292openalex-snapshot
Novel Hopfield Neural Network Model with Election Algorithm for Random 3 Satisfiability
inferred← citeshttps://doi.org/10.35940/ijeat.d7711.049420openalex-snapshot
Agent based Modeling for Activation Function in Enhancement Logic Programming in 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
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
inferred← citeshttps://doi.org/10.3934/math.2026736openalex-snapshot
A major random 1,3-satisfiability logic mining model in discrete Hopfield neural networks for adverse event analysis
inferred← citeshttps://doi.org/10.3934/math.2026910openalex-snapshot
Two-stage asymmetric hybrid binary particle swarm optimization with adaptive-parameter learning in discrete Hopfield neural networks
inferred← citeshttps://doi.org/10.47836/pjst.29.3.26openalex-snapshot
Modelling Benign Ovarian Cyst Risk Factors and Symptoms via Log-Linear Model
inferred← citeshttps://doi.org/10.53799/y7wvjq52openalex-snapshot
Optimizing Quadratic Satisfiability with Special Symbolic Logic in a Discrete Hopfield Neural Network Using Swarm Intelligence
inferred← citeshttps://doi.org/10.5815/ijmecs.2020.04.03openalex-snapshot
Mean-Field Theory in Hopfield Neural Network for Doing 2 Satisfiability Logic Programming
inferred← citeshttps://doi.org/10.9781/ijimai.2020.06.002openalex-snapshot
Satisfiability Logic Analysis Via Radial Basis Function Neural Network with Artificial Bee Colony Algorithm.
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.