基于BP神经网络的偶氮苯聚合物的光致双折射特性曲线拟合

Curve Fitting of Photoinduced Birefringence in Amorphous Copolymer Containing Azobenzence Groups Based on BP Neural Network

介绍了神经网络的基本原理和BP算法神经网络,并将BP神经网络应用于偶氮聚合物的光致双折射特性曲线拟合,在MATLAB环境下,利用实验数据进行了实验测试,结果表明该方法处理数据精度高,拟合效果好.

In this paper,the basic principle of the artificial neural network is introduced and the back propagation algorithm neural network is described in detail.The back propagation neural network is applied to fit the curves of photoinduced birefringence of azobenzene groups.The test is carried out based on the experimental data with MATLAB.The result shows that this method has the high precision of processing result and a good effect.