[1]赵卫东,盛昭瀚,杜雪寒.基于神经网络的案例推理医疗诊断[J].东南大学学报(自然科学版),2000,30(3):46-50.[doi:10.3969/j.issn.1001-0505.2000.03.010]
 Zhao Weidong,Sheng Zhaohan,Du Xuehan.Case-Based Reasoning Medical Diagnosis Based on the Strength Neural Network[J].Journal of Southeast University (Natural Science Edition),2000,30(3):46-50.[doi:10.3969/j.issn.1001-0505.2000.03.010]
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基于神经网络的案例推理医疗诊断()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
30
期数:
2000年第3期
页码:
46-50
栏目:
自动化
出版日期:
2000-05-20

文章信息/Info

Title:
Case-Based Reasoning Medical Diagnosis Based on the Strength Neural Network
作者:
赵卫东1 盛昭瀚1 杜雪寒2
1 东南大学经管学院,南京 210096; 2 徐州市第一人民医院,徐州 221002
Author(s):
Zhao Weidong1 Sheng Zhaohan1 Du Xuehan2
1 College of Economics and Management, Nanjing 210096
2 Xuzhou No. 1 People’s Hospital, Xuzhou 221002
关键词:
增强神经网络 医疗诊断 案例推理
Keywords:
strength neural network medical diagnosis case-based reasoning
分类号:
TP18
DOI:
10.3969/j.issn.1001-0505.2000.03.010
摘要:
在医疗诊断中,案例推理是一种有效的思维方式.但在实际应用中,存在许多难点,如大型案例库中案例的表示和相似案例高效检索问题.结合前向神经网络的特点,来实现案例检索.为减少多层前向网络进入局部极小的机会,改进网络的性能,提出用神经元和前向神经网络集成,构成一种增强型神经网络结构.数学和仿真证明这种网络能减少进入局部极小的机会.此外,借助于数据库技术和多级索引方法,设计了一个医疗诊断专家系统,结果表明上述基于神经网络的案例检索方法是有效的.
Abstract:
Case-Based Reasoning (CBR)is an effective method in medical diagnosis. But there exist some problems such as presenting of cases and fast searching for similar cases in large case bases, when it is applied. In this paper, foreword multi-layer networks are used for CBR because of their advantages. In order to decrease the chance of MLN’s entering local minima and improve its effectiveness, a strength neural network is also proposed with a backward propagation neural network and an adaptive neuron integrated. And mathematical proof and simulation result are also given. Moreover, by means of the database technology and multi-level index,the design of a medical diagnosis system proves that choosing the network to retrieve cases in medical diagnosis is valid.

参考文献/References:

[1] Zhongzhi Shi.Applying case-based reasoning to engine oil design.Artificial Intelligence in Engineering,1997,11:167~172
[2] Ashim Bose,Maria Gini.A case-based approach to planar linkage design.Artificial Intelligence in Engineering,1997,11:107~119
[3] Kevin D.Ashley,Edwina L Rissland.A case-based approach to modeling legal expertise.IEEE Expert,1988:70~77
[4] 吕柏权,李天铎.一种具有全局最优的神经网络BP算法.清华大学学报,1997,37(2):32~34

备注/Memo

备注/Memo:
基金项目: 江苏省自然科学基金资助项目(7760513002).
第一作者:男, 1971年生, 博士生.
更新日期/Last Update: 2000-05-20