Research of combination forecasting model based on improved analytic hierarchy process
Abstract The weighting method of the traditional fixed combination forecasting model is the only criterion considered to improve accuracy, which has some limitations. In order to improve the comprehensive prediction performance of the combined model, hierarchical structure of the combined model by s...
Main Authors: | Tengfei Feng, Xiaosheng Liu, Yu Zhong, Shibiao Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-07-01
|
Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13638-018-1199-x |
Similar Items
-
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) -
High-Precision Combined Tidal Forecasting Model
by: Jiao Liu, et al.
Published: (2019-03-01) -
Unemployment Rates Forecasting with Grey-Based Models in the Post-COVID-19 Period: A Case Study from Vietnam
by: Phi-Hung Nguyen, et al.
Published: (2021-07-01) -
Improving Stock Price Prediction Using Combining Forecasts Methods
by: Mohammad Raquibul Hossain, et al.
Published: (2021-01-01) -
Forecasting of railway freight volume: Approach of Estonian railway to arise efficiency
by: Ãœlo Hunt
Published: (2003-12-01)