BP神经网络在舰船电网谐波预测中的应用
发布时间：2019-04-19 19:57
【摘要】：为预测电网谐波,改进供电品质,本文根据电网谐波特性,建立了BP神经网络算法,对电网谐波样本点进行了误差训练,得到了谐波幅值变化特性。通过与标准值比较,表明:采用BP神经网络算法对谐波进行拟合能够达到较高的准确度。
[Abstract]:In order to predict the harmonics and improve the power supply quality, according to the harmonic characteristics of the power network, the BP neural network algorithm is established, and the error training of the harmonic sample points is carried out, and the variation characteristics of the harmonic amplitudes are obtained. By comparing with the standard values, it is shown that the BP neural network algorithm can achieve high accuracy in harmonic fitting.
【作者单位】： 郑州大学体育学院;
【基金】：河南省教育厅科学技术研究重点项目(13B520253);河南省教育厅科学技术研究重点项目(13B890250)
【分类号】：TP183;U674.703.3
，
本文编号：2461233
[Abstract]:In order to predict the harmonics and improve the power supply quality, according to the harmonic characteristics of the power network, the BP neural network algorithm is established, and the error training of the harmonic sample points is carried out, and the variation characteristics of the harmonic amplitudes are obtained. By comparing with the standard values, it is shown that the BP neural network algorithm can achieve high accuracy in harmonic fitting.
【作者单位】： 郑州大学体育学院;
【基金】：河南省教育厅科学技术研究重点项目(13B520253);河南省教育厅科学技术研究重点项目(13B890250)
【分类号】：TP183;U674.703.3
，
本文编号：2461233
本文链接：https://www.wllwen.com/kejilunwen/chuanbolw/2461233.html
