The Effectiveness Analysis of Combined Forecasting Model—Based on Forecast of China’s Aging of Population

2020 ◽  
Vol 09 (01) ◽  
pp. 39-46
Author(s):  
延鹏 孙
Keyword(s):  
Forecasting Model ◽  
Model Based ◽  
Effectiveness Analysis ◽  
Combined Forecasting

Combined Forecasting Model Based on the Rough Set to Predict the Chinese CO2 Emissions

2013 ◽  
Vol 773 ◽  
pp. 831-836
Author(s):  
Jian Guo Zhou ◽  
Xi Gang Zhang
Keyword(s):  
Co2 Emissions ◽  
Rough Set ◽  
Small Sample ◽  
Support Vector ◽  
Forecasting Model ◽  
Model Based ◽  
Combination Forecasting ◽  
Small Sample Properties ◽  
Bp Neural Network Model ◽  
Combined Forecasting

The text is to establish a combined forecasting model based on the Rough Set (RSCM) ,on the basis of BP Neural Network Model and Support Vector Machine ,in consideration of the Chinese CO2 emission :uncertainty ,imperfection and small sample properties. We predict Chinese CO2 emissions for the same period to verify the effectiveness of combination forecasting model based on rough set, based on the data of the Chinese CO2 emissions from 1990 to 2011. and use this model to predict future Chinese CO2 emissions.

Sign in / Sign up

Export Citation Format

Share Document