Adaptive probabilistic neural network-based crane type selection system

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dc.contributor.author Sawhney, Anil en_US
dc.contributor.author Mund, A en_US
dc.contributor.editor en_US
dc.date.accessioned 2011-02-07T06:25:09Z
dc.date.available 2011-02-07T06:25:09Z
dc.date.issued 2002 en_US
dc.identifier 2009006829 en_US
dc.identifier.citation Sawhney Anil and Mund A 2002, 'Adaptive probabilistic neural network-based crane type selection system', Asce-Amer Soc Civil Engineers, vol. 128, no. 3, pp. 265-273. en_US
dc.identifier.issn 0733-9364 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13834
dc.description.abstract Due to the central role of cranes in construction operations, specialists in the construction industries have cooperated in the development of structured methods and software for crane selection. Most of these software tools are for crane model selection, and integrated systems that handle both crane type and model selection are not readily available. This paper presents the crane type selection features of IntelliCranes, a prototype integrated crane selection tool that assists in both crane type and crane model selection based on a set of inputs describing the construction operation under consideration. By using historical data and advanced artificial intelligence computing tools such as artificial neural networks, IntelliCranes automates crane type selection. Crane type and crane model selection are seamlessly integrated in a comprehensive crane selection tool, and consistency in the selection of cranes for similar situations is increased. en_US
dc.language en_US
dc.publisher Asce-Amer Soc Civil Engineers en_US
dc.relation.isbasedon http://dx.doi.org/10.1061/(ASCE)0733-9364(2002)128:3(265) en_US
dc.title Adaptive probabilistic neural network-based crane type selection system en_US
dc.parent Journal Of Construction Engineering And Management-asce en_US
dc.journal.volume 128 en_US
dc.journal.number 3 en_US
dc.publocation Preston en_US
dc.identifier.startpage 265 en_US
dc.identifier.endpage 273 en_US
dc.cauo.name DAB.School of Built Environment en_US
dc.conference Verified OK en_US
dc.for 120200 en_US
dc.personcode 109510 en_US
dc.personcode 0000063362 en_US
dc.percentage 100 en_US
dc.classification.name Building 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:000175722300009 en_US
dc.description.keywords NA en_US
dc.staffid en_US


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