Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method

Abstract We propose a time series forecasting method for the future prices of agricultural products and present the criteria by which forecasted future time series are evaluated in the context of statistical characteristics. Time series forecasting of agricultural products has the basic importance i...

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Bibliographic Details
Main Author: Koichi Kurumatani
Format: Article
Language:English
Published: Springer 2020-07-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-020-03225-9