基于BP神经网络的弗兰克-赫兹实验曲线拟合

The Curve Fitting of Frank-Haze Experiment Based on BP Neural Network

BP神经网络通过调整连接权重便可按预定精确度逼近非线性函数,利用这一特点可对非线性函数关系进行拟合。利用BP神经网络对弗兰克-赫兹实验数据进行处理,结果显示该方法处理结果精度高,拟合效果好。

BP neural network can implement approximating nonlinear functions by arbitrary accuracy through regulating variable weight connection. This character can fit the nonlinear functions relations. The papers uses BP neural network to process the data in frank-haze experiment. The result shows this method has the high precision of processing result, good effect of fitting.