Paper Title:
The Fault Diagnosis of Tower Crane Based on Genetic Algorithm and BP Neural Network
  Abstract

As the most important architectural engineering mechanics in the processing of architectural construction, the progress of construction will be put off by the appearance of the fault of Tower Crane, so it is absolutely crucial to take the monitoring and diagnosis of the condition. BP Neural Network ,which is optimized by Genetic Algorithm, is constructed to have the prediction and identification of the fault of Tower Crane, and it proved that it is effectively and precisely to justify the fault of Tower Crane through using the structure of improving BP Neural Network.

  Info
Periodical
Advanced Materials Research (Volumes 368-373)
Chapter
Chapter 8: Infrastructure Construction Management and Sustainable Urban Development
Edited by
Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren
Pages
3163-3166
DOI
10.4028/www.scientific.net/AMR.368-373.3163
Citation
S. C. Yuan, J. Q. Shang, X. Y. Wang, C. Li, "The Fault Diagnosis of Tower Crane Based on Genetic Algorithm and BP Neural Network", Advanced Materials Research, Vols. 368-373, pp. 3163-3166, 2012
Online since
October 2011
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Price
$32.00
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