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针对当前河流纵向离散系数计算方法的缺陷,提出了一种利用改进的BP神经网络模型计算河流纵向离散系数的新方法。实例应用结果表明,该法增强了BP网络预测的精度和泛化能力,可简单、有效地预测河流纵向离散系数。
Aiming at the shortcomings of the current method for calculating longitudinal discrete coefficients, a new method for calculating longitudinal discrete coefficients of rivers using improved BP neural network model is proposed. The practical application shows that the proposed method enhances the accuracy and generalization ability of BP network prediction, and can predict the vertical discrete coefficient of river easily and effectively.