Time Series Prediction Based on Complex-Valued S-System Model

Time Series Prediction Based on Complex-Valued S-System Model

Symbolic regression has been utilized to infer mathematical formulas in order to solve the complex prediction and classification problems. In this paper, complex-valued S-system model (CVSS) is proposed to predict real-valued time series data. In a CVSS model, input variables and rate constants are...

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Bibliographic Details
Main Authors:	Bin Yang, Wenzheng Bao, Yuehui Chen
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2020-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2020/6393805

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