| 模糊神经网络用于SARS疫情系统的辨识和预报 |
| |
| 引用本文： | 国嘉,王家海,张忠民.模糊神经网络用于SARS疫情系统的辨识和预报[J].微机发展,2004,14(2):26-31. |
| |
| 作者姓名： | 国嘉 王家海 张忠民 |
| |
| 作者单位： | 辽宁工程技术大学，辽宁工程技术大学，辽宁工程技术大学 辽宁阜新123000，辽宁阜新123000，辽宁阜新123000 |
| |
| 摘 要： | 提出了模糊神经网络用于SARS疾病疫情非线性系统建模和预报的思想,该方法可以推广到各种流行性疾病的预防和控制中。模糊神经网络主要应用于非线性系统的建模、预报和控制,特别适合于不同输入类型的模型系统。而流行性疾病的传播规律与模糊神经网络模型特点相符合,这里提出将模糊神经网络用于SARS疾病疫情非线性系统的辩识和预报的观点,相应的也可推演到其它流行性疾病传播规律中。
|
| 关 键 词： | 模糊神经网络 计算智能 三种无模型估计器 模糊多层感知机 模糊基函数 |
| 文章编号： | 1005-3751(2004)02-00026-06 |
| 修稿时间： | 2003年7月21日 |
Fuzzy Neural Networks Using to Distinguish and Forecast Non-linearity Systems of SARS Epidemic Situation |
| |
| GUO Jia,WANG Jia-hai,ZHANG Zhong-min.Fuzzy Neural Networks Using to Distinguish and Forecast Non-linearity Systems of SARS Epidemic Situation[J].Microcomputer Development,2004,14(2):26-31. |
| |
| Authors: | GUO Jia WANG Jia-hai ZHANG Zhong-min |
| |
| Abstract: | Put forward one idea of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation.The method can generalize to defend and control on apiece epidemic. Fuzzy neural networks mostly applies to modeling, forecasting and controlling non-linearity systems, especially is propitious to model-system of vary inputting style. The spread rule of epidemic accord with the characteristic of fuzzy neural networks model, so this thesis put forward the viewpoint of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation.It also can deduce to spread rule of other epidemic. |
| |
| Keywords: | fuzzy neural networks computational intelligence model-free estimator FMLP fuzzy basis function |
| 本文献已被 CNKI 维普 等数据库收录！ |
