摘要
应用改进的BP神经网络对贮灰坝的安全状况进行了实时在线分析和预测,预测了水位变化时贮灰坝的安全系数,分析了贮灰坝安全系数的影响因素,具有很好的工程实用价值。
An real-time on-line analysis and prediction of the safety operation of ash dam is carried out by the ameliorable BP NN Algorithm to predict the safety coefficient of the ash dam when the water level changes, based on which the influencing factors on the dam safety parameter is analyzed. This study has practical meaning in engineering work.
出处
《红水河》
2005年第1期19-22,共4页
Hongshui River
关键词
贮灰坝
神经网络
BP算法
安全系数
金竹山电厂
ash dam
neural network
BP algorithm
safety coefficient
Jinzhushan power plant
