计算机工程与应用Issue(3)：221-226,6.DOI:10.3778/j.issn.1002-8331.1302-0119
Elman神经网络改进模型在脑膜炎诊断中的应用
Application of improved Elman neural network model in diagnosis of meningitis
摘要
Abstract
An improved Elman neural network model for auxiliary diagnosis of meningitis disease is put forward, which aims to show the pathological information of the cerebrospinal fluid and the inner relationship between the index of cere-brospinal fluid nonlinear multivariable diagnosis and the criteria of meningitis classification. A two-level training and sim-ulation experimental structure of improved Elman neural network model network is constructed, and 85 and 51 clinical cases confirmed data as training samples and simulation data are inputted respectively. The simulation results show that, with the improved Elman neural network model, the auxiliary diagnosis mean squared error accuracy can reach 10-2. The intelligent computation of improved Elman neural network model in aided diagnosis of meningococcal disease is feasible.关键词
Elman神经网络/改进模型/脑膜炎/仿真诊断Key words
Elman neural network/improved model/meningitis/simulation diagnosis分类
信息技术与安全科学引用本文复制引用
吴泽志,傅佳..Elman神经网络改进模型在脑膜炎诊断中的应用[J].计算机工程与应用,2014,(3):221-226,6.基金项目
安徽省教育厅自然科学重点基金（No.KJ2012A144）；安徽省教育厅人文社科基金（No.2010sk154）。 （）
