| 人工神经网络在SARS疫情分析与预测中的应用 |
| |
| 引用本文： | 白艳萍,靳祯.人工神经网络在SARS疫情分析与预测中的应用[J].数学的实践与认识,2004,34(5):101-107. |
| |
| 作者姓名： | 白艳萍 靳祯 |
| |
| 作者单位： | 华北工学院应用数学系,山西省,太原,030051 |
| |
| 摘 要： | 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
|
| 关 键 词： | 人工神经网络 B-P算法 SARS疫情 数学建模 |
| 修稿时间： | 2003年10月25 |
SARA Epidemic Situation Study Using Artificial Neural Networks Models |
| |
| BAI Yan-ping,JIN Zhen.SARA Epidemic Situation Study Using Artificial Neural Networks Models[J].Mathematics in Practice and Theory,2004,34(5):101-107. |
| |
| Authors: | BAI Yan-ping JIN Zhen |
| |
| Abstract: | Analysis and forecast of SARS epidemic situation by using artificial neural networks was reported in this paper. We study some application of neural networks in SARS spread and epidemic situation. 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 and Beijing. The result of forecast curve show that the algorithm is rapid and the result is precision. |
| |
| Keywords: | artificial neural networks B-P algorithm SARS epidemic situation mathematics model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
