BP神经网络在苏南河网圩区排涝模数确定中的运用

Application of BP Neural Network in Determination of Flood Drainage Modulus in Dike Regions of River Networks in South Jiangsu

为了确定苏南河网圩区的排涝模数,对现状排涝能力进行校核,同时为除涝工程规划提供依据,在分析了常规调蓄计算的基础上,提出了利用BP神经网络建模的方法,并结合苏南水网圩区实例进行了探索,建立了排涝模数确定的BP神经网络模型,给出了模拟预测结果。结果表明,模型具有精度较高、快捷可靠的特点,不失为一种确定排涝模数的良好方法。

In order to determine the flood drainage modulus in dike regions of river networks in South Jiangsu, check the drainage capacity and provide the bases for drainage planning, the modeling method by using BP neural network is put forward on the basis of the conventional adjusting and storing computation. And combining with the practical conditions in the dike regions of the river networks in South Jiangsu, the BP neural network model to determine the flood drainage modulus is established and the results of simulation prediction are given, which show that the nodel is accurate, fast and reliable, and it is a good method for determining the flood drainage modulus.