摘要
本文将同伦算法引入到神经网络的学习训练中 ,提高了神经网络的学习效率 ;该方法具有稳定性强 ,收敛性好的优点 ;用这种神经网络进行了电力系统的状态估计 ,算例表明了该方法的有效性。
Besed on the homotopy method of neural network,thus is can learn faster in lower calculation cost and can imprive generalization ability and learning efficiency for network.The method is robust and has very good convergence property.Application this neural network on power system state estimation,examples demonstrale the effectiveness of the homotopy method.
出处
《电力系统及其自动化学报》
CSCD
2000年第1期11-14,19,共5页
Proceedings of the CSU-EPSA
关键词
神经网络
同伦算法
电力系统
状态估计
运行
BP neural network, homotopy algorithm, power system state estimation
