Solution of the optimization problem using the neural network model as a globally coupled map
type: Item
instance of: scholarly article
title: Solution of the optimization problem using the neural network model as a globally coupled map
zbMATH Open document ID: 0860.90102
DOI: 10.1016/0167-2789(94)90282-8
author: Hiroshi Nozawa
published in: Physica D
publication date: 1996-12-01T00:00:00Z
Mathematics Subject Classification ID: 90C27
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 951930
zbMATH Keywords: neural network models
zbMATH Keywords: Hopfield model
zbMATH Keywords: traveling salesman
zbMATH Keywords: chaotic search
MaRDI profile type: Publication
full work available at URL: 0167-2789(94)90282-8
OpenAlex ID: W1977373429
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
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cites work: Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements
cites work: Globally coupled circle maps
cites work: On the stability of the travelling salesman problem algorithm of Hopfield and Tank
description: scientific article; zbMATH DE number 951930