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dc.contributor.authorChan, Kit Yan
dc.contributor.authorLing, S.
dc.contributor.authorDillon, Tharam
dc.contributor.authorKwong, C.
dc.contributor.editorChin-Teng Lin and Yau-Huang Kuo
dc.date.accessioned2017-01-30T13:30:19Z
dc.date.available2017-01-30T13:30:19Z
dc.date.created2012-02-09T20:00:50Z
dc.date.issued2011
dc.date.submitted2012-05-30
dc.identifier.citationChan, Kit and Ling, Sai and Dillon, Tharam and Kwong, Che. 2011. Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks, in IEEE International Conference on Fuzzy Systems (FUZZ 2011), Jun 27-30 2011. Taipei, Taiwan: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/32323
dc.identifier.doi10.1109/FUZZY.2011.6007321
dc.description.abstract

In this paper, process conditions of epoxy dispensing processes are determined by the proposed genetic algorithm based neural fuzzy networks, which consists of two tasks: a) the approach of neural fuzzy networks, which was shown to be better than the other existing approaches, is proposed to develop models in relating between process parameters and quality characteristics for the epoxy dispensing processes; b) the approach of genetic algorithm is used to determine process parameters with respect to pre-defined quality requirements based on the developed neural fuzzy network models. The results indicate that, based on the proposed genetic algorithm based neural fuzzy network, estimated process parameters can achieve specified requirements of microchip encapsulations with high and robust qualities.

dc.publisherIEEE
dc.subjectneural fuzzy networks
dc.subjectEpoxy dispensing process
dc.subjectmicrochip encapsulation
dc.titleDetermination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks
dc.typeConference Paper
dcterms.dateSubmitted2012-02-10
dcterms.source.startPage2253
dcterms.source.endPage2260
dcterms.source.issn1098-7584
dcterms.source.titleProceedings of the IEEE international conference on fuzzy systems (FUZZ 2011)
dcterms.source.seriesProceedings of the IEEE international conference on fuzzy systems (FUZZ 2011)
dcterms.source.conferenceIEEE International Conference on Fuzzy Systems (FUZZ 2011)
dcterms.source.conferencedatesJun 27 2011
dcterms.source.conferencelocationTaipei, Taiwan
dcterms.source.placeTaiwan
curtin.digitool.pid172102
curtin.pubStatusPublished
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.identifier.scriptidPUB-CBS-EEB-MC-61754
curtin.accessStatusFulltext not available


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