BP和Elman神经网络评价针灸治疗颈椎病疗效研究  

Research on Effectiveness Assessment of Acupuncture for Cervical Spondylosis Based on BP and Elman Neural Network

作　　者：韦晓燕[1] 张洪来[1] 魏航[1,2] 林秦烨 谭火媛 郭丽纯 

机构地区：[1]广州中医药大学医学信息工程学院,广州510006 [2]华南理工大学软件工程学院,广州510006

出　　处：《现代计算机》2016年第15期3-6,12,共5页Modern Computer

基　　金：国家级创新创业训练项目(No.201510572017);国家自然科学基金项目(No.81274003);广东省自然科学基金项目(No.2015A030310312;2014A030309013);广东省中医药科学基金研究项目(No.B2014174)

摘　　要：基于PRO量表在针灸治疗颈椎病的不确定性和复杂性,需要综合多种因子去衡量,且因子与输出的关系是非线性的,而人工神经网络模型能够解决非线性问题且适合于动态系统辨识,于是分别构建BP和Elman人工神经网络,通过MATLAB软件运算,分析比较得出BP模型比Elman模型精度高,在针灸评价模型中效果更好。为针灸治疗颈椎病提供相关理论指导。Based on PRO scale in the acupuncture treatment of cervical spondylosis exists uncertainty and complexity, it is difficult to judge by a single factor, but a comprehensive variety of factors to measure, and the relationship between the factor and the output is non-linear, and the neural network model can approximate arbitrary nonlinear function and suitable for dynamic system identification feature, so con-structs the evaluation model BP and Elman artificial neural network by MATLAB software operation, comparative examples drawn BP model is higher than the Elman model accuracy.

关 键 词：PRO量表 BP神经网络 ELMAN神经网络 针灸评价 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]