摘要
建立了基于Ｈｏｐｆｉｅｌｄ神经网络的水电补偿调节模型，提出了一个改进的综合算法，将其应用于４水电站的补偿调节，得到了令人满意的结果．
In this paper, a model of compensative regulation of hydropower based on Hopfield neural network is established and an improved algorithm is proposed. The proposed method is applied to the compensative regulation of four hydropower stations and satisfactory results are obtained.
出处
《水电能源科学》
1998年第1期22-28,共7页
Water Resources and Power
关键词
人工神经网络
水电补偿调节
模拟退火
水电站
ANN, hydropower compensative regulation, simulated annealing technique, global optimum solution
