On problem solving with Hopfield neural networks

DOI10.1007/BF00197648zbMath0687.68031OpenAlexW3017511737MaRDI QIDQ1263288

Behrooz Kamgar-Parsi, Behzad Kamgar-Parsi

Publication date: 1990

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00197648

zbMATH Keywords

neural networksTraveling Salesman ProblemClustering Problem

Mathematics Subject Classification ID

Related Items (18)

A review of combinatorial problems arising in feedforward neural network design ⋮ Solving the \(N\)-queens problem with a binary Hopfield-type network. Synchronous and asynchronous model ⋮ A hybrid neural approach to combinatorial optimization ⋮ A Competitive-Layer Model for Feature Binding and Sensory Segmentation ⋮ A robust linear grouping algorithm ⋮ Image segmentation using a neural network ⋮ Robust Linear Clustering ⋮ Neural network methods in combinatorial optimization ⋮ A stochastic neural network for resource constrained scheduling ⋮ Optimization with neural networks: A recipe for improving convergence and solution quality ⋮ A columnar competitive model for solving multi-traveling salesman problem ⋮ Stability analysis of Hopfield neural networks with uncertainty ⋮ Distributed resource allocation with binary decisions via Newton-like neural network dynamics ⋮ On problem solving with Hopfield neural networks ⋮ Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem ⋮ Mixed Tabu machine for portfolio optimization problem ⋮ Solving large scale combinatorial optimization problems based on a divide and conquer strategy ⋮ A review of Hopfield neural networks for solving mathematical programming problems

Cites Work

• ``Neural computation of decisions in optimization problems
• On the stability of the travelling salesman problem algorithm of Hopfield and Tank
• On problem solving with Hopfield neural networks
• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• Random Iterations of Threshold Networks and Associative Memory
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: On problem solving with Hopfield neural networks