Intelligent Autofeedback and Safety Early-Warning for Underground Cavern Engineering during Construction Based on BP Neural Network and FEM

The low efficiency of feedback analysis is one of the main shortcomings in the construction of underground cavern engineering. With this in mind, a method of intelligent autofeedback and safety early-warning for underground cavern is proposed based on BP neural network and FEM. The training sample p...

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Veröffentlicht in:	Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-8
Hauptverfasser:	Lei, Xu, Ren, Qingwen, Zhang, Taijun
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Automation Back propagation networks Caverns Civil engineering Computer programs Construction Construction engineering Data exchange Design techniques Efficiency Finite element method Hydroelectric power Mathematical analysis Mathematical models Mathematical problems Neural networks Parameters Power plants Pumped storage Safety Software Software engineering Underground caverns Underground construction Underground storage Warning
Online-Zugang:	Volltext
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