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Modeling the milling tool wear by using a multilayer perceptron artificial neural network from milling run experimental data

dc.contributor.authorGarcía Nieto, Paulino José 
dc.contributor.authorGarcía Gonzalo, María Esperanza 
dc.date.accessioned2018-02-28T10:41:18Z
dc.date.available2018-02-28T10:41:18Z
dc.date.issued2017
dc.identifier.isbn9781634859790
dc.identifier.isbn9781634859646
dc.identifier.urihttp://hdl.handle.net/10651/46234
dc.format.extentp. 157-174
dc.language.isoeng
dc.relation.ispartofArtificial Neural Networks: New Research
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85034583680&partnerID=40&md5=87ac5c565a155153c87f25b27b675233
dc.titleModeling the milling tool wear by using a multilayer perceptron artificial neural network from milling run experimental data
dc.typebook partspa


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