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The research of tailings pond deformation displacement prediction based on Wavelet neural network

机译:基于小波神经网络的尾矿池变形位移预测研究

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In order to ensure the safe operation of the tailings pond,and control the occurrences of mine accidents,Strengthening the security research and Establish forecasting model are important.This paper takes dam deformation as the research key,takes the online monitoring as row data,and takes deformation factors as the main line,then uses the method of wavelet neural network,finally establish the prediction model and then analyze.The result shows that this method avoids the concrete form of knowledge representation and has the great nonlinear function approaching capability.
机译:为了确保尾矿池的安全运行,并控制矿业事故的发生,加强安全研究和建立预测模型很重要。这篇论文将大坝变形作为研究密钥,将在线监测作为行数据,以及将变形因子作为主线,然后使用小波神经网络的方法,最后建立预测模型然后分析。结果表明,该方法避免了知识表示的具体形式,具有巨大的非线性功能接近能力。

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