基于模糊神经网络的方剂功效约简算法

乔少杰; 唐常杰; 韩楠

您当前的位置：

首页 >

文章列表页 >

基于模糊神经网络的方剂功效约简算法

信息工程 | 更新时间：2023-11-28

- 基于模糊神经网络的方剂功效约简算法
- Prescription Effect Reduction Algorithm Based on Fuzzy Neural Network
- 工程科学与技术 2008年40卷第2期页码：107-111
- 作者机构：
  
  1. 四川大学计算机学院四川,成都,610065
  2. 成都中医药大学基础医学院四川,成都,610075
  3. 北京大学信息科学技术学院北京,100871
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(60473071);国家中医药管理局基金SATCM资助项目(2003JP40);中国博士后科学基金资助项目(20060400002);四川省青年软件创新工程资助项目(2005AA0816)
- DOI：
  中图分类号：
- 纸质出版日期：2008，
扫描看全文
乔少杰,唐常杰,韩楠.基于模糊神经网络的方剂功效约简算法[J].工程科学与技术,2008,40(2):107-111.

Prescription Effect Reduction Algorithm Based on Fuzzy Neural Network[J]. Advanced Engineering Sciences, 2008,40(2):107-111.
乔少杰,唐常杰,韩楠.基于模糊神经网络的方剂功效约简算法[J].工程科学与技术,2008,40(2):107-111. DOI：

Prescription Effect Reduction Algorithm Based on Fuzzy Neural Network[J]. Advanced Engineering Sciences, 2008,40(2):107-111. DOI：

摘要

中文摘要: 了解决中药方剂的功效约简问题，将模糊神经元和径向基函数引入神经网络，提出了基于模糊神经网络的方剂功效约简算法PERA(Prescription Effect Reduction Algorithm)，设计了方剂功效约简模糊神经网络EFNN(Effect Fuzzy Neural Network)。通过大量实验表明，与传统的基于神经网络和粗糙集的属性约简算法相比，PERA算法功效约简的准确率较高，一般在90％以上，功效约简的完整率优势明显，平均高出约40%，系统运行时间明显小于传统神经网络。

Abstract

Abstract:To solve the problem of reducing prescription effects of traditional Chinese medicine

the fuzzy neuron and the radial basis function was applied to the neural network

a prescription effect reduction algorithm named PERA (Prescription Effect Reduction Algorithm) based on fuzzy neural network was proposed

and a prescription effect reduction system named EFNN (Effect Fuzzy Neural Network) was developed. Experiments demonstrated that the proposed method is better than other traditional attribute reduction algorithms

such as artificial neural network and rough set. The precision of effect reduction of PERA is greater than 90%

the recall is about 40%

greater than traditional attribute reduction algorithms

and its running time is less than traditional neural networks obviously.

关键词

功效约简模糊神经元径向基函数模糊神经网络

Keywords

effect reductionfuzzy neuronRadial basis functionfuzzy neural network

references

Peng Jing,Tang Changjie,Zeng Tao,et al.A Chinese traditional medicine prescription effect reduction algorithm based on artificial neural network and property distance matrix[J].Journal of Sichuan University:Engineering Science Edition,2006,38(1):92-97.[彭京,唐常杰,曾涛,等.基于神经网络和属性距离矩阵的中药方剂功效规约算法[J].四川大学学报:工程科学版,2006,38(1):92-97.]

Ling Weiye,Jia Minping,Xu Feiyun,et al.Optimizing strategy on rough set neural network fault diagnosis system[J.Proceedings of the CSEE,2003,23(5):98-102.[凌维业,贾民平,许飞云,等.粗糙集神经网络故障诊断系统的优化方法研究[J].中国电机工程学报,2003,23(5):98-102.]

Greco S,Matarazzo B,Slowinski R.Rough sets theory for multicriteria decision analysis[J].European Journal of Operational Research,2001,28(1):1-41.

Faloutsos C,Lin K.FastMap:A fast algorithm for indexing,data mining and visualization of traditional and multimedia datasets[C]// Proc of ACM SIGMOD.1995:163-174.

蒋永光,李认书,黎勇.试论中医方剂信息的数据化[J].中国中医药信息杂志[J],2001,8(12):80-81.

He Ming,Feng Boqin,Ma Zhaofeng.Approach to construct a rough neural networks based on rough set[J].Journal of Xi\'an Jiaotong University,2004,38(12):1240-1246.[何明,冯博琴,马兆丰,等.一种基于粗糙集的粗糙神经网络构造方法[J].西安交通大学学报,2004,38(12):1240-1246.]

Yahia E,Mahmod R,Sulaiman N,et al.Rough neural expert systems[J].Expert Systems with Applications,2000,18(1):87-99.

Zou Kaiqi,Sang Lin,Yang Xinguang.Fuzzy decision-making based on neural networks[J].Fuzzy Systems and Mathematics,2001,15(2):76-78.[邹开其,桑琳,杨昕光.基于神经网络的模糊决策方法[J].模糊系统与数学,2001,15(2):76-78.]

Luo Junhai.Research on nonlinear filtering based on fuzzy neural networks[D].Chengdu:Chengdu University of Information Technology,2006.[罗俊海.基于模糊神经网络的非线性滤波研究[D].成都:成都理工大学,2006.]

Qiao Shaojie,Tang Changjie,Peng Jing,et al.A novel prescription function reduction algorithm based on neural network[C]// Proc of the International Conference on Sensing,Computing and Automation.DCDIS series B:Application and Algorithm,2006:939-944.

浏览量

358

下载量

CNKI被引量

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于流固耦合界面数据传递模型的水电站厂房流激振动分析