Performance Analysis of Four Decomposition-Ensemble Models for One-Day-Ahead Agricultural Commodity Futures Price Forecasting-Reference-Cited by-同舟云学术

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Performance Analysis of Four Decomposition-Ensemble Models for One-Day-Ahead Agricultural Commodity Futures Price Forecasting

Published:2017-09-12 Issue:3 Volume:10 Page:108
ISSN:1999-4893
Container-title:Algorithms
language:en
Short-container-title:Algorithms

Author:

Wang Deyun,Yue Chenqiang,Wei Shuai,Lv Jun

Funder

National Natural Science Foundation, China

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Link

http://www.mdpi.com/1999-4893/10/3/108/pdf

Reference52 articles.

1. An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting

2. Image masking for crop yield forecasting using AVHRR NDVI time series imagery

3. Pre-harvest forecasting of county wheat yield and wheat quality using weather information

4. An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

5. Is there co-movement of agricultural commodities futures prices and crude oil?

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