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

作　　者：陈文芳[1] 许棠[2] 

机构地区：[1]茂名学院高州师范分院,广东高州525200 [2]湛江师范学院实验教学管理处,广东湛江524048

出　　处：《湛江师范学院学报》2008年第6期66-68,共3页Journal of Zhanjiang Normal College

基　　金：广东省自然科学基金资助项目(04011427);湛江师范学院科研基金资助项目(L0422)

摘　　要：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.

关 键 词：神经网络 BP算法 偶氮苯 光致双折射 曲线拟合 

分 类 号：O631.2[理学—高分子化学]