Paper Title:
Water-Inflow Forecast of Submarine Tunnel Based on BP Neural Networks
  Abstract

The submarine tunnel water-inflow question has many kinds of factor synthesis influences, has highly the complexity and the misalignment, This article used the BP neural network algorithm to establish the submarine tunnel welling up water volume forecast model and to carry on the computation analysis, The result indicated that this model restraining performance is good, the forecast precision is high and simple feasible. This method has provided a new mentality for the submarine tunnel welling up water volume's forecast.

  Info
Periodical
Edited by
Xuejun Zhou
Pages
2173-2177
DOI
10.4028/www.scientific.net/AMM.90-93.2173
Citation
C. Cai, T. Huang, X. Li, Y. Z. Li, "Water-Inflow Forecast of Submarine Tunnel Based on BP Neural Networks", Applied Mechanics and Materials, Vols. 90-93, pp. 2173-2177, 2011
Online since
September 2011
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Price
$32.00
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