偏差递归神经网络在区间洪水预报中的应用研究

Research on Flood Forecast Based on Recursion Neural Network with Bias Unit

介绍了一种带有偏差单元的递归神经网络模型,并对其在区间洪水预报过程中的应用进行了分析和研究.利用东北丰满、白山等水电站的历史水文观测数据对模型进行验证,结果证明了这一方法的可行性,理论分析表明该方法可以推广到其他区间洪水预报中.

In this paper, recursion neural network with bias unit has been introduced, and apply to build flood forecast model. The result of hydrology data provide by Fengman and Baishan show that using recursion neural network with bias unit for flood forecast is effective, and this method can extend to other area.