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Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing

Detalles Bibliográficos
Autores principales: Aarts, Emile H L, Korst, Jan
Lenguaje:eng
Publicado: Wiley 1989
Materias:
Acceso en línea:http://cds.cern.ch/record/223386
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author Aarts, Emile H L
Korst, Jan
author_facet Aarts, Emile H L
Korst, Jan
author_sort Aarts, Emile H L
collection CERN
id cern-223386
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1989
publisher Wiley
record_format invenio
spelling cern-2233862021-04-22T04:29:18Zhttp://cds.cern.ch/record/223386engAarts, Emile H LKorst, JanSimulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computingComputing and ComputersWileyoai:cds.cern.ch:2233861989
spellingShingle Computing and Computers
Aarts, Emile H L
Korst, Jan
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
title Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
title_full Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
title_fullStr Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
title_full_unstemmed Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
title_short Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
title_sort simulated annealing and boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
topic Computing and Computers
url http://cds.cern.ch/record/223386
work_keys_str_mv AT aartsemilehl simulatedannealingandboltzmannmachinesastochasticapproachtocombinatorialoptimizationandneuralcomputing
AT korstjan simulatedannealingandboltzmannmachinesastochasticapproachtocombinatorialoptimizationandneuralcomputing