摘要
结合梯度下降算法和进化算法对RBF神经网络进行改进,建立了基于改进的RBF神经网络的配电网故障诊断模型.配电网故障诊断实例表明,基于改进的RBF神经网络的配网故障诊断模型具有较高的诊断精度.
RBF neural network is effective for nonlinear fault diagnosis,but such method has the problem of local minimum and slow convergence.Evolutionary algorithm has strong global search ability,and it can realize parameter optimization for the RBF neural network through intersection,selection and aberrance;but during parameter optimization,covergence is slow.This paper proposes a distribution network fault diagnosis model based on improved RBF nueral network through combination of gradient descent algorithm and evolutionary numerical hybrid method.Application expriments show that this model has a high diagnostic accuracy.
出处
《吉首大学学报（自然科学版）》
CAS
2018年第1期54-58,共5页
Journal of Jishou University(Natural Sciences Edition)
关键词
RBF神经网络
改进
配电网
故障诊断
RBF neural network
improvement
distribution network
fault diagnosis
