Water-Inflow Forecast of Submarine Tunnel Based on BP Neural Networks

Abstract:

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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 et al., "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:

$35.00

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