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Conference Paper: Using neural network for parts inspection

TitleUsing neural network for parts inspection
Authors
Tam, SMCheung, KC
Issue Date1995
Citation
Ieee International Conference On Neural Networks - Conference Proceedings, 1995, v. 2, p. 730-733 How to Cite?
AbstractA novel method of parts inspection based on determining the mass and location of centre of mass of a part under inspection is reported. A set of simultaneous non-linear equations needs to be solved in order to calculate the mass and location of centre of mass of the part under inspection from measured static deflections and natural frequencies of vibration of the sensor. A neural network is used to estimate the roots of the equations.
Persistent Identifierhttp://hdl.handle.net/10722/158907

 

DC FieldValueLanguage
dc.contributor.authorTam, SMen_US
dc.contributor.authorCheung, KCen_US
dc.date.accessioned2012-08-08T09:04:30Z-
dc.date.available2012-08-08T09:04:30Z-
dc.date.issued1995en_US
dc.identifier.citationIeee International Conference On Neural Networks - Conference Proceedings, 1995, v. 2, p. 730-733en_US
dc.identifier.urihttp://hdl.handle.net/10722/158907-
dc.description.abstractA novel method of parts inspection based on determining the mass and location of centre of mass of a part under inspection is reported. A set of simultaneous non-linear equations needs to be solved in order to calculate the mass and location of centre of mass of the part under inspection from measured static deflections and natural frequencies of vibration of the sensor. A neural network is used to estimate the roots of the equations.en_US
dc.languageengen_US
dc.relation.ispartofIEEE International Conference on Neural Networks - Conference Proceedingsen_US
dc.titleUsing neural network for parts inspectionen_US
dc.typeConference_Paperen_US
dc.identifier.emailCheung, KC:kccheung@hkucc.hku.hken_US
dc.identifier.authorityCheung, KC=rp01322en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0029489471en_US
dc.identifier.volume2en_US
dc.identifier.spage730en_US
dc.identifier.epage733en_US
dc.identifier.scopusauthoridTam, SM=7202037309en_US
dc.identifier.scopusauthoridCheung, KC=7402406698en_US

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