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Research on calculation method of free flow discharge based on artificial neural network and regression analysis

机译:基于人工神经网络和回归分析的自由流量放电计算方法研究

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摘要

Taking the Huaidian Sluice on the Shaying River in China as an example, this paper establishes the calculation model of the free flow based on artificial neural network and regression analysis. Four forms of discharge coefficient calculation equations were obtained by regression analysis, and three neural network models were established. The model is fully verified by using the measured data. The experimental results show that the third-order polynomial and multilayer perceptron neural network have better adaptability. The advantages and disadvantages of the different methods are analyzed and the cause of the error is identified. It provides a theoretical basis for dealing with the discharge calculation of small and medium dam.
机译:以中国抛光河上的黄田水闸为例,本文建立了基于人工神经网络和回归分析的自由流动计算模型。 通过回归分析获得四种形式的放电系数计算方程,并建立了三种神经网络模型。 通过使用测量数据完全验证该模型。 实验结果表明,三阶多项式和多层的感知神经网络具有更好的适应性。 分析了不同方法的优点和缺点,并识别出误差的原因。 它为处理中小坝的放电计算提供了理论依据。

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