关键词: Elman神经网络, 改进模型, 脑膜炎, 仿真诊断

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 cerebrospinal fluid nonlinear multivariable diagnosis and the criteria of meningitis classification. A two-level training and simulation 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.

Key words: Elman neural network, improved model, meningitis, simulation diagnosis