Neural approach for solving several types of optimization problems
type: Item
instance of: scholarly article
title: Neural approach for solving several types of optimization problems
zbMATH Open document ID: 1112.90106
published in: Journal of Optimization Theory and Applications
publication date: 2006-12-19T00:00:00Z
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 90C39
Mathematics Subject Classification ID: 90C27
zbMATH DE Number: 5080705
zbMATH Keywords: recurrent neural networks
zbMATH Keywords: nonlinear optimization
zbMATH Keywords: dynamic programming
zbMATH Keywords: combinatorial optimization
zbMATH Keywords: Hopfield network.
author: Ivan Nunes da Silva
author: W. C. Amaral
author: Lúcia V. R. Arruda
MaRDI profile type: Publication
full work available at URL: s10957-006-9032-9
OpenAlex ID: W2091375303
cites work: Q4936225
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cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: Q5588268
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DOI: 10.1007/S10957-006-9032-9
description: scientific article; zbMATH DE number 5080705