Application of neural networks with linear and nonlinear weights in occupational disease incidence forecast | |
Huang, ZH ; Yu, DH ; Zhao, JY | |
2000 | |
英文摘要 | This paper proposes the application of Artificial Neural Networks (ANN) in forecasting miners' occupational disease incidence, examines the effect of BP network topology and parameters on training time, describes a neural network that uses Legendre Polynomial (LP) as nonlinear weights and tries to find a most suitable network model to solve the problem via analyzing the forecast result. Through computer simulation, it clarifies that this model could forecast miners' pneumoconiosis incidence commendably.; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications; EI; CPCI-S(ISTP); 0 |
语种 | 英语 |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/293979] ![]() |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Huang, ZH,Yu, DH,Zhao, JY. Application of neural networks with linear and nonlinear weights in occupational disease incidence forecast. 2000-01-01. |
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