利用径向基函数神经网络处理水轮机综合特性曲线

The treatment of hydroturbine synthetic characteristic curve by radial basis networks

介绍了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法。这种方法无须建立具体的函数关系表达式,即可对已知离散数据进行拟合,并结合边界约束条件对未知区域内的数据进行预测,从而提高了水轮机综合特性曲线数据处理的工作效率和数据精度。

The method of data treatment concerning hydroturbine synthetic characteristic curve by radial basis networks is introduced. It is not necessary to set up the concrete functions expression, the known discrete data can be fitted by this way and the data in unknown regions can be predicted with combination of the constraint conditions at the boundary. Thereby, the efficiency of data treatment and precision of hydroturbine synthetic characteristic curve are improved.