讨论人工神经网络在 SARS疫情分析与预测中的应用 .采用三层结构的反向传播网络 ( Backpropagation network,简称 BP网络 ) ,对 SARS在中国的传播与流行趋势及控制策略建立了网络模型 .并利用实际数据拟合参数 ,针对北京、山西的疫情进行了计算仿真 .结果表明 ,该网络模型算法收敛速度较快 ,预测精度很高 This paper discusses the application of artificial neural network in SARS epidemic analysis and prediction.It uses the three-layer backpropagation network (BP network) to establish the network model for the spread and epidemic trend and control strategy of SARS in China. The actual data fitting parameters were used to simulate the epidemic situation in Beijing and Shanxi Province.The results show that the proposed algorithm converges fast and the prediction accuracy is high