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

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.date.accessioned	2018-02-28T10:41:18Z
dc.date.available	2018-02-28T10:41:18Z
dc.date.issued	2017
dc.identifier.isbn	9781634859790
dc.identifier.isbn	9781634859646
dc.identifier.uri	http://hdl.handle.net/10651/46234
dc.format.extent	p. 157-174
dc.language.iso	eng
dc.relation.ispartof	Artificial Neural Networks: New Research
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034583680&partnerID=40&md5=87ac5c565a155153c87f25b27b675233
dc.title	Modeling the milling tool wear by using a multilayer perceptron artificial neural network from milling run experimental data
dc.type	book part	spa

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