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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/ml/Liang07>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Faming_Liang>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2Fs10994-007-5017-7>
foaf:homepage <https://doi.org/10.1007/s10994-007-5017-7>
dc:identifier DBLP journals/ml/Liang07 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2Fs10994-007-5017-7 (xsd:string)
dcterms:issued 2007 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/ml>
rdfs:label Annealing stochastic approximation Monte Carlo algorithm for neural network training. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Faming_Liang>
swrc:number 3 (xsd:string)
swrc:pages 201-233 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/ml/Liang07/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/ml/Liang07>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/ml/ml68.html#Liang07>
rdfs:seeAlso <https://doi.org/10.1007/s10994-007-5017-7>
dc:subject Back-propagation; Convergence rate; Markov chain Monte Carlo; Multiple layer perceptron; Simulated annealing; Stochastic approximation; Wang-Landau algorithm (xsd:string)
dc:title Annealing stochastic approximation Monte Carlo algorithm for neural network training. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 68 (xsd:string)