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A neural network designed to solve the N-Queens Problem

https://doi.org/10.1007/bf00203674
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/978-3-662-00784-6openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00199592openalex-snapshot
Convergence properties of a modified Hopfield-Tank model
inferredcites →https://doi.org/10.1007/bf00336888openalex-snapshot
Solving a combinatorial problem via self-organizing process: An application of the Kohonen algorithm to the traveling salesman problem
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1016/0893-6080(88)90002-0openalex-snapshot
Self-organizing feature maps and the travelling salesman problem
inferredcites →https://doi.org/10.1016/0893-6080(88)90021-4openalex-snapshot
Nonlinear neural networks: Principles, mechanisms, and architectures
inferredcites →https://doi.org/10.1073/pnas.81.10.3088openalex-snapshot
Neurons with graded response have collective computational properties like those of two-state neurons.
inferredcites →https://doi.org/10.1109/icnn.1988.23945openalex-snapshot
Alternative networks for solving the traveling salesman problem and the list-matching problem
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1117/12.961609openalex-snapshot
Perspective Of A Neural Optical Solution Of The Traveling Salesman Optimization Problem

What points at this work

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

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Solving the N-Queens problem with a binary Hopfield-type network
inferred← citeshttps://doi.org/10.1007/s00422-024-01002-0openalex-snapshot
Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/s004220050337openalex-snapshot
A maximum neural network approach for N -queens problems
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Hysteretic Hopfield network with dynamic tunneling for crossbar switch and -queens problem
inferred← citeshttps://doi.org/10.1016/s0925-2312(99)00132-0openalex-snapshot
Optimization with the Hopfield network based on correlated noises: Experimental approach
inferred← citeshttps://doi.org/10.1016/s1874-5946(98)80043-6openalex-snapshot
Short time memory problems
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Short time memory problems
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A consensus-function artificial neural network for map-coloring
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The hysteretic Hopfield neural network
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Solving search problems with subgoals using an artificial neural network
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The hysteretic Hopfield neural network
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A modified Hopfield model for solving the N-Queens problem
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A new N-parallel updating method of the Hopfield-type neural network for N-queens problem
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New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods
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Novel Load Balancing Algorithms Ensuring Uniform Packet Loss Probabilities for WSN
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REDUCING THE TIME COMPLEXITY OF THE N-QUEENS PROBLEM
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Hopfield networks, neural data structures and the nine flies problem
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Isomorphism and the N-Queens problem
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Quadratic Programming for TDMA Scheduling in Wireless Sensor Networks
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Sensor Networks for High-Confidence Cyber-Physical Systems
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
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POLYNOMIAL TIME HEURISTIC OPTIMIZATION METHODS APPLIED TO PROBLEMS IN COMPUTATIONAL FINANCE
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OPTIMIZATION OF N + 1 QUEENS PROBLEM USING DISCRETE NEURAL NETWORK
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SOLVING THE TRAVELLING SALESMAN PROBLEM WITH A HOPFIELD-TYPE NEURAL NETWORK
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A Saturation Computation Method of Artificial Binary Neural Networks for Combinatorial Optimization Problems.
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An Efficient Algorithm for Maximum Clique Problem Using Improved Hopfield Neural Network.
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Neuron Circuit Using Coupled SQUIDs Gate with Flat Output Characteristics for Superconducting Neural Network
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A novel Hopfield neural network approach for minimizing total weighted tardiness of jobs scheduled on identical machines
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Applications of Quantum Annealing in Statistics
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N-queens pattern generation: an insight into space complexity of a backtracking algorithm
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