Abstract
The lifetime prediction of tower crane is very important in guiding the planning of use, making sure the lifetime of service about tower crane. By means of the abilities of neural network such as memory, induction & study, it can effectively build forecasting model for information which are difficult to be built into an exact math model like tower crane. This paper gains a relatively precision prediction result with BP neural network from the lifetime prediction of tower crane and describes the basic principle and the training work.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Yu, Y., Tian, Y., Feng, N., Lei, M. (2012). Research on Lifetime Prediction Method of Tower Crane Based on Back Propagation Neural Network. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28658-2_17
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DOI: https://doi.org/10.1007/978-3-642-28658-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28657-5
Online ISBN: 978-3-642-28658-2
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