| 用人工神经网络对SARS疫情进行分析与预测 |
| |
| 引用本文： | 白艳萍,靳祯,冀鹏. 用人工神经网络对SARS疫情进行分析与预测[J]. 中北大学学报(自然科学版), 2004, 25(4): 235-238 |
| |
| 作者姓名： | 白艳萍 靳祯 冀鹏 |
| |
| 作者单位： | 华北工学院应用数学系，华北工学院应用数学系，华北工学院应用数学系 山西太原030051，山西太原030051，山西太原030051 |
| |
| 基金项目： | 华北工学院青年基金资助项目 |
| |
| 摘 要： | 采用三层结构的反向传播网络(backpropagationnetwork,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.
|
| 关 键 词： | 人工神经网络 数学建模 B-P算法 SARS疫情 |
| 文章编号： | 1006-5431(2004)04-0235-04 |
| 修稿时间： | 2003-10-20 |
Analysis and Forecast of SARS Epidemic Situation by Using Artificial Neural Networks Models |
| |
| BAI Yan-ping,JIN Zhen,JI Peng. Analysis and Forecast of SARS Epidemic Situation by Using Artificial Neural Networks Models[J]. Journal of North University of China, 2004, 25(4): 235-238 |
| |
| Authors: | BAI Yan-ping JIN Zhen JI Peng |
| |
| Abstract: | We study some application of artificial neural networks models in SARS spread and epidemic situation in this paper. We turn the multi-layer back propagation network model in SARS epidemic situation. By simulating at computer, we acquire the forecast curve of the epidemic about Shanxi. The result of forecast curve show that the algorithm is rapid and the result is precision. |
| |
| Keywords: | artificial neural networks mathematics model B-P Algorithm SARS epidemic situation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
