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一种改进BP神经网络算法的编程及应用
引用本文:周昌鸿,张运陶.一种改进BP神经网络算法的编程及应用[J].西华师范大学学报(哲学社会科学版),2009(3):321-326.
作者姓名:周昌鸿  张运陶
作者单位:西华师范大学应用化学研究所;
摘    要:采用附加动量并结合动态调整学习率改进BP算法,用MATLAB语言完成该算法程序的编写,并将其应用于处理光催化降解直接橙S水溶液的数据.该程序对训练集和预测集计算结果的相关系数R分别为0.9723和0.9452,处理效果良好.

关 键 词:改进BP算法  MATLAB  直接橙S

Programme of an Improved BP Neural Network and Its Application
ZHOU Chang-hong,ZHANG Yun-tao.Programme of an Improved BP Neural Network and Its Application[J].Journal of China West Normal University:Natural Science Edition,2009(3):321-326.
Authors:ZHOU Chang-hong  ZHANG Yun-tao
Institution:Institute of Applied Chemistry;China West Normal University;Nanchong 637009;China
Abstract:This paper studies how to improue by Neural Network attached momentum and dynamic adjusted the learning rate by combining.We compile this program based on Matlab.It is applied to deal with the problem of photocatalytic degradation of Direct Orange S.The values of correlation coefficient R for training set and validation set is 0.9723 and 0.9452,respectively.The property of improved BP Neural Network is better than quadratic regression model.
Keywords:improved BP neural network  Matlab  direct orange S  
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