摘要
提出了一种利用径向基函数网络 ( RBFN)来实现神经网络式距离保护的方法。同基于 BP网络的神经网络式距离保护的训练时间相比 ,所需的网络训练时间大大减少。同时 ,从检验结果可以看出 ,基于
To improve the study efficiency and reduce the training time,a new method based on radial basis function network RBFN to perform the neural network based distance protection is put forward. Compared with the one based on BP network,this method spends less training time.The test results show that the neural network based distance protection based on RBFN is feasible and efficient and has the good performance of pattern recognition.
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第21期23-26,共4页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目! (5990 70 0 2 )
关键词
径向基函数网络
距离保护
线路保护
电力系统
radial basis function network RBFN
distance protection
neural network
BP network
