摘要
提出一种水电站长期优化调度的神经元网络方法．理论推导和实例分析都验证了该方法的可行性与有效性．
This paper presents a neural networks learning algorithm in long term optimization of hydropower station.Theoretical inference and practical results indicate feasibilty and effectiveness of the algorithm.
出处
《水电能源科学》
1998年第3期26-31,共6页
Water Resources and Power
关键词
水电站
优化调度
神经元网络
multilayer feedforward neural networks
exponential convergence speed
long term optimization of hydropower station
