基于动态结构神经网络的涌流识别新方法

来源 :电力自动化设备 | 被引量 : 0次 | 上传用户：xyf669842466

【摘要】

：

励磁涌流识别是变压器微机差动保护中的关键问题.在综合考虑多方面因素的前提下,提出了一种基于改进型动态结构神经网络的涌流识别新方法.其主要思想为在采用多层前向反馈传

【作者】

：

宋芸乐秀璠

【机构】

：

河海大学

【出处】

：

电力自动化设备

【发表日期】

：

2004年期

【关键词】

：

动态神经网络励磁涌流惯性冲量

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励磁涌流识别是变压器微机差动保护中的关键问题.在综合考虑多方面因素的前提下,提出了一种基于改进型动态结构神经网络的涌流识别新方法.其主要思想为在采用多层前向反馈传播BP(Back Propagation)网络改进型训练算法(即在调整权值和阈值时,添加Rumelbart惯性冲量技术)的基础上,通过改变隐层的神经元个数使网络结构模型达到最优.仿真试验表明由该方法设计的模型进行涌流识别效果良好.

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基于动态结构神经网络的涌流识别新方法

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