Forecasting wholesale prices of yellow corn through the Gaussian process regression

For market players and policy officials, commodity price forecasts are crucial problems that are challenging to address due to the complexity of price time series. Given its strategic importance, corn crops are hardly an exception. The current paper evaluates the forecasting issue for China’s weekly...

Full description

Saved in:
Bibliographic Details
Published in:Neural computing & applications 2024-05, Vol.36 (15), p.8693-8710
Main Authors: Jin, Bingzi, Xu, Xiaojie
Format: Article
Language:English
Subjects:
Agricultural commodities
Artificial Intelligence
Basis functions
Commodities
Commodity prices
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Corn
Data Mining and Knowledge Discovery
Decision making
Forecasting
Gaussian process
Image Processing and Computer Vision
Machine learning
Mean square errors
Neural networks
Optimization techniques
Original Article
Players
Probability and Statistics in Computer Science
Regression models
Root-mean-square errors
Time series
Wholesale Price Index-US
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!