A Forecasting Model Based on High-Order Fluctuation Trends and Information Entropy

Most existing high-order prediction models abstract logical rules that are based on historical discrete states without considering historical inconsistency and fluctuation trends. In fact, these two characteristics are important for describing historical fluctuations. This paper proposes a model bas...

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Bibliographic Details
Main Authors: Hongjun Guan, Zongli Dai, Shuang Guan, Aiwu Zhao
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/9/669