Adaptive probabilistic neural network-based crane type selection system

被引:53
|
作者
Sawhney, A [1 ]
Mund, A [1 ]
机构
[1] Arizona State Univ, Del E Webb Sch Construct, Tempe, AZ 85287 USA
关键词
cranes; neural networks; construction sites; lifting; computer software; selection;
D O I
10.1061/(ASCE)0733-9364(2002)128:3(265)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:265 / 273
页数:9
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