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On problem solving with Hopfield neural networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Analog VLSI Implementation of Neural Systems
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“Neural” computation of decisions in optimization problems
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On the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank
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An introduction to probability theory and its applications
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Terminal attractors for addressable memory in neural networks
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Algorithms for clustering data
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Towards practical ‘neural’ computation for combinatorial optimization problems
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Neurons with graded response have collective computational properties like those of two-state neurons.
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Algorithms for Clustering Data
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Numerical Initial Value Problems in Ordinary Differential Equations
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How to cluster in parallel with neural networks
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Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
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Random Iterations of Threshold Networks and Associative Memory
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An Introduction to Probability Theory and Its Applications
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Numerical Initial Value Problems in Ordinary Differential Equations
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An Introduction to Probability Theory and Its Applications.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Solving optimization problems by using a Hopfield neural network and genetic algorithm combination
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“Optimal” neural representation of higher order for traveling salesman problems
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Analysis of neural network energy functions using standard forms
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Set‐theoretic comparison of mappings of combinatorial optimization problems to hopfield neural networks
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A Gradient Network for Vector Quantization and Its Image Compression Applications
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Convergence properties of a modified Hopfield-Tank model
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An Investigation into the Improvement of Local Minima of the Hopfield Network
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Weighted parallel problem solving by optimization networks
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New algorithms for 2D and 3D point matching
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Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling
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Fuzzy Set Theoretic Tools for Image Analysis
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Parameter setting of the Hopfield network applied to TSP
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An analytical framework for optimizing neural networks
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Solving degenerate optimization problems using networks of neural oscillators
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A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation
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Stability analysis of Hopfield neural networks with uncertainty
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An automata network for performing combinatorial optimization
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Mathematical improvement of the Hopfield model for TSP feasible solutions by synapse dynamical systems
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Solving dynamic optimization problems with adaptive networks
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Amoeba-inspired analog electronic computing system integrating resistance crossbar for solving the travelling salesman problem
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New Method of Solving the Traveling Salesman Problem Based on Real Space Renormalization Theory
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FPGA placement by using Hopfield neural network
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Finding knight's tours on an M×N chessboard with O(MN) hysteresis McCulloch-Pitts neurons
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A graduated assignment algorithm for graph matching
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Mathematical improvement of the Hopfield model for feasible solutions to the traveling salesman problem by a synapse dynamical system
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Modified Hopfield-Tank neural networks applied to the "Unitized" maximum flow problem
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Higher order neural networks for combinatorial optimisation improving the scaling properties of the Hopfield network
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Global convergence and suppression of spurious states of the Hopfield neural networks
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Dynamical stability and parameter selection in neural optimization
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Parameters rules of the Hopfield/Tank model on solving TSP
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Machine and bit precision influence on the Hopfield-Tank model for the TSP
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Determining the Sustainable Development Strategies and Adoption Paths for Public Bike-Sharing Service Systems (PBSSSs) under Various Users’ Considerations
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