运用改进神经网络算法建立水库调度函数

Improving neural network algorithm for establishing reservoir operation function

简述了改进的神经网络算法,利用神经网络强大的非线性映射能力建立了水库调度函数的神经网络模型,并运用模型模拟湖南凤滩水电厂水库调度运行,同时与常规回归分析方法建立的水库调度函数模拟计算结果进行比较.研究结果表明神经网络法建立的水库调度函数具有更高的模拟计算精度,具有更好的实用性和可行性.

The improving neural network algorithm is described in brief. The reservoir operation function is established based on strong nonlinear mapping feature of the neural network model .In the simulation of Fengtan hydropower station in Hunan province, a comparison between the application of neural network algorithm and traditional regression analysis method has been made. The results show that the improving neural network algorithm excels the traditional method in calculational precision, and it has good practicability and feasibility.