Application of Elm Neural Network in Dam Displacement Early Warning Model

Tu Tu; Feng Zhu; Ai Wu Cao; Lu He; Geng Ying

doi:10.4028/www.scientific.net/AMR.864-867.2363

Paper Titles

Seepage Flow Analysis of Cofferdam in Deep Overburden Foundation
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Study of Wave Dissipation on Curtain Wall Structures Based on the SPH Method
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Evaluation of Water Environmental Quality in Feng Zi Jian Mining Area Based on Analytic Hierarchy Process
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The Assessment of Hydrochemistry Characteristics and Eutrophication Level of Lake Baiyangdian, North of China
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Application of Elm Neural Network in Dam Displacement Early Warning Model
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Characteristics Research of Aqueduct under FSI Dynamic Response
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Water Poverty Index in the Inland River Basins of Hexi Corridor, Gansu Province
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Monitoring of Water and Salt Transport during the Leaching Process under Different Water Level in an Experimental Tank
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Application of Rainstorm Calculating Method on Flood Design
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 864-867Application of Elm Neural Network in Dam...

Application of Elm Neural Network in Dam Displacement Early Warning Model

Abstract:

The dam displacement is related to multiple factors such as time, temperature, water level and etc. And it presents a strong nonlinear and certain randomness.Neural network model because of its inherent characteristics can better simulate the dam displacement.Nowadays,It has methods to estimate the displacement of the dam by constructing physical model and BP neural network model.But BP neural network's training time is too long and the forecast effect is not very good.So this paper introduces Elm neural network model,establishs Elm neural network model of dam displacement early warning considering multiple factors to estimate the displacement.By a simple example and compared with BP neural network model to reflect the rationality and scientificity of this method.

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Periodical:

Advanced Materials Research (Volumes 864-867)

Pages:

2363-2366

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.864-867.2363

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Online since:

December 2013

Authors:

Tu Tu, Feng Zhu, Ai Wu Cao, Lu He, Geng Ying

Keywords:

Dam Displacement, Early Warning Model, Elm Neural Network

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References

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