Approximate Reliability Function Based On Wavelet Latin Hypercube Sampling And Bee Recurrent Neural Network

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dc.contributor.author Yeh Wei-Chang en_US
dc.contributor.author Su Jack en_US
dc.contributor.author Hsieh Tsung-Jung en_US
dc.contributor.author Chih Mingchang en_US
dc.contributor.author Liu Sin-Long en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T09:56:16Z
dc.date.available 2012-02-02T09:56:16Z
dc.date.issued 2011 en_US
dc.identifier 2010004084 en_US
dc.identifier.citation Yeh Wei-Chang et al. 2011, 'Approximate Reliability Function Based On Wavelet Latin Hypercube Sampling And Bee Recurrent Neural Network', IEEE-Inst Electrical Electronics Engineers Inc, vol. 60, no. 2, pp. 404-414. en_US
dc.identifier.issn 0018-9529 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15173
dc.description.abstract This work combines a Bee Recurrent Neural Network (BRNN) optimized by the Artificial Bee Colony (ABC) algorithm with Monte Carlo Simulation (MCS) to generate a novel approximate model for predicting network reliability. We utilize the Wavelet Transform ( en_US
dc.language en_US
dc.publisher IEEE-Inst Electrical Electronics Engineers Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/TR.2011.2134190 en_US
dc.title Approximate Reliability Function Based On Wavelet Latin Hypercube Sampling And Bee Recurrent Neural Network en_US
dc.parent IEEE Transactions on Reliability en_US
dc.journal.volume 60 en_US
dc.journal.number 2 en_US
dc.publocation Piscataway en_US
dc.identifier.startpage 404 en_US
dc.identifier.endpage 414 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080300 en_US
dc.personcode 106463;0000069317;0000069318;0000069319;0000069321 en_US
dc.percentage 000100 en_US
dc.classification.name Computer Software en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000291317100006 en_US
dc.description.keywords Colony Abc Algorithm; Computer Experiments; Simulation Approach; Designs; Optimization; Performance en_US
dc.staffid en_US


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