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应用BP神经网络进行洪水预报,既充分利用了历史水文资料,又避开水文要素之间没有具体的函数关系这一难题,为洪水预报提供了一种新的方法,把专家的经验与计算机技术成功地结合了起来,对洪水预报起到一定的推动作用。
The application of BP neural network for flood forecasting not only makes full use of historical hydrological data but also avoids the problem that there is no specific functional relationship between hydrological elements and provides a new method for flood forecasting. The experience of experts and computer technology Successfully combined together to play a certain role in promoting flood forecasting.