A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS
Abstract Background As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and caused serious damage to the life and health of people and the social events of China and the world because of its high fa...
Main Authors: | Zeming Li, Yanning Li |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-07-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-020-01157-3 |
Similar Items
-
Forecasting Coal Consumption in India by 2030: Using Linear Modified Linear (MGM-ARIMA) and Linear Modified Nonlinear (BP-ARIMA) Combined Models
by: Shuyu Li, et al.
Published: (2019-01-01) -
Prediction of the Energy Demand Trend in Middle Africa—A Comparison of MGM, MECM, ARIMA and BP Models
by: Lili Wang, et al.
Published: (2019-04-01) -
Comparison of Econometric Models and Artificial Neural Networks Algorithms for the Prediction of Baltic Dry Index
by: Xin Zhang, et al.
Published: (2019-01-01) -
Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model
by: Shuyu Li, et al.
Published: (2017-07-01) -
Indian Stock Market Predictive Efficiency using the ARIMA Model
by: Manish R Pathak, et al.
Published: (2021-06-01)