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A new grey intelligent prediction algorithm with multiobjective correction strategy

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成果类型:
期刊论文
作者:
Liu, Chong;Wu, Wen-Ze;Xie, Wanli
通讯作者:
Wen-Ze Wu
作者机构:
[Liu, Chong] Northeastern Univ, Coll Sci, Shenyang 110819, Peoples R China.
[Wu, Wen-Ze] Cent China Normal Univ, Sch Econ, Business Adm, Wuhan 430079, Peoples R China.
[Xie, Wanli] Qufu Normal Univ, Sch Commun, Rizhao 276826, Peoples R China.
通讯机构:
[Wen-Ze Wu] S
School of Economics and Business Administration, Central China Normal University Wuhan 430079, China
语种:
英文
关键词:
Grey system theory;Multiobjective grey wolf optimizer;Time series prediction;Weakened accumulation operator
期刊:
Applied Mathematical Modelling
ISSN:
0307-904X
年:
2023
卷:
118
页码:
692-708
基金类别:
We are very grateful to Zhang Tao for his help in the revision process of the manuscript. This work is partly supported by the Fundamental Research Funds for the Central Universities of China (Grant No. 30106220440).
机构署名:
本校为其他机构
院系归属:
经济与工商管理学院
摘要:
As a combination of the differential equation prediction model and intelligent optimiza-tion algorithm, the grey intelligent prediction algorithm has attracted increasing attention due to its outstanding performance in small-sample environments. However, most studies focus only on the improvement of algorithm performance, with little regard to the uni-formity, ill-condition and overfitting of the algorithm. To promote the development of this field, we develop a new grey intelligent prediction algorithm with multiobjective correc-tion strategy based on the new weakened accumulation grey optimiz...

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