摘要
提出基于果蝇优化算法的GRNN电网故障诊断模型,实现GRNN分布参数的优化选择。利用广义回归神经网络(GRNN)相比于其他人工神经网络在逼近能力、分类能力和学习速度上面的优势,建立基于GRNN神经网络的电网故障诊断模型。经分析及测试,该方法能够有效的提高运行人员故障处理效率,快速并准确的实现电网的故障诊断。
With the rapid development of the grid,people for the reliability and security of energy put forward higher requirements. This paper presents optimization algorithm based on GRNN Drosophila fault diagnosis model,GRNN distribution parameters to achieve the optimal choice. Using generalized regression neural network（ GRNN） compared to other artificial neural networks in approximation capability classification ability and learning speed of the above advantages,the establishment of the grid based on GRNN neural network fault diagnosis model. The paper analyzes and testing,this method can effectively improve the efficiency of operating personnel fault handling,fast and accurate implementation of network fault diagnosis.
出处
《电气开关》
2014年第5期38-41,共4页
Electric Switchgear
关键词
神经网络
专家系统
电网
neural network
expert system
power grid
