Handling uncertainties in modelling manufacturing processes with hybrid swarm intelligence

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Handling uncertainties in modelling manufacturing processes with hybrid swarm intelligence

Seldom has research regarding manufacturing process modelling considered the two common types ofuncertainties which are caused by randomness as in material properties and by fuzziness as in the inexact knowledge in manufacturing processes. Accuracies of process models can be downgraded if these unce...

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Bibliographic Details
Main Authors:	Chan, Kit Yan, Dillon, Tharam, Kwong, Che
Format:	Journal Article
Published:	Taylor & Francis 2011
Subjects:	manufacturing process modelling nonlinearities particle swarm optimisation - uncertainties fuzzy least square regression
Online Access:	http://hdl.handle.net/20.500.11937/21763

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