摘要
介绍了利用BP人工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,即可将已知离散数据进行拟合,从而提高了水轮机综合特性曲线数据处理的工作效率。
The method of data treatment concerning hydroturbine synthetic characteristic curve by BP Neural Network is introduced.It is not necessary to set up the concrete functions expression,the known discrete data can be fitted by this way .Thereby,the efficiency of data treatment of hydroturbine synthetic characteristic curve are improved.
出处
《科技信息》
2008年第13期13-14,共2页
Science & Technology Information
基金
河北省科技攻关资助项目(00212147)
关键词
水轮机
综合特性曲线
BP神经网络
数据拟合
hydroturbine
syntheic characteristic curve
BP Neural Network
data fitting