摘要
阐述了人工神经网络的基本原理,提出了建立水库优化调度函数的BP网络模型。分别利用该算法与传统的多元回归建立金盆水库优化调度函数,结果表明,BP网络模型计算简便,并具有较高的计算精度。
Based on the explanation on principle of artificial neural network, the BP Network model for reservoir operation rules is established. Then the model and the traditional multiple regression method are used to establish the operating rules of Jinpen reservoir. The case study shows that the model possesses the advantage of high accuracy and good practicability.
出处
《水电能源科学》
2005年第2期28-30,共3页
Water Resources and Power
基金
国家重点基础研究发展规划(973)资助项目(G1999043608)
关键词
优化调度
人工神经网络
BP网络
多元回归
调度函数
optimal dispatching
artificial neural network
BP network
multiple regression
reservoir operation rules
