Learning high-order fuzzy cognitive maps via multimodal artificial bee colony algorithm and nearest-better clustering: Applications on multivariate time series prediction-Reference-Cited by-同舟云学术

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Learning high-order fuzzy cognitive maps via multimodal artificial bee colony algorithm and nearest-better clustering: Applications on multivariate time series prediction

Published:2024-07 Issue: Volume:295 Page:111771
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Zhuofan,Liu Xiaoqian^ORCID,Zhang Yingjun^ORCID,Qin Jiahu,Zheng Wei Xing,Wang Jingping

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference63 articles.

1. Transductive LSTM for time-series prediction: An application to weather forecasting;Karevan;Neural Netw.,2020

2. Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion;Abolghasemi;Comput. Ind. Eng.,2020

3. A deep increasing–decreasing-linear neural network for financial time series prediction;Araújo;Neurocomputing,2019

4. A combined model predictive control and time series forecasting framework for production–inventory systems;Doganis;Int. J. Prod. Res.,2008

5. Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model;Parmezan;Inform. Sci.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretable predictive modeling of non-stationary long time series;Computers & Industrial Engineering;2024-08

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