TECHNICAL PAPERS
May 15, 2002

Adaptive Probabilistic Neural Network-based Crane Type Selection System

Publication: Journal of Construction Engineering and Management
Volume 128, Issue 3

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.

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Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 128Issue 3June 2002
Pages: 265 - 273

History

Received: Feb 11, 2000
Revised: Aug 3, 2001
Published online: May 15, 2002
Published in print: Jun 2002

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Authors

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Anil Sawhney
Associate Professor, Del E. Webb School of Construction, Arizona State Univ., P.O. Box 870204, Tempe, AZ 85287-0204.
André Mund
Graduate Research Associate, Del E. Webb School of Construction, Arizona State Univ., P.O. Box 870204, Tempe, AZ 85287-0204.

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