摘要
针对水轮发电机组存在的非线性，研究用神经网络建立其模型．分析网络初始权值的选取以及遗忘因子对网络权值学习收敛性的影响，并建立了一个真实水轮发电机组的神经网络模型．
This paper studies non linear modeling of Hydro generator set based on neural network,and analyses the initial weights chioce of the neural network as well as the influences of forgeting factors on the weight learning convergence.A neural network model of a prototype hydro generator set is set up.
出处
《武汉水利电力大学学报》
CSCD
1997年第6期73-75,共3页
Engineering Journal of Wuhan University
基金
中华电力教育基金
关键词
水轮发电机组
非线性
神经网络
建模
hydro generator set
non linear
neural network
modeling
