Supply Chain Demand Forecast Based on SSA-XGBoost Model

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Journal of Computer and Communications

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"Supply Chain Demand Forecast Based on SSA-XGBoost Model"
written by Shifeng Ni, Yan Peng, Ke Peng, Zijian Liu,
published by Journal of Computer and Communications, Vol.10 No.12, 2022

has been cited by the following article(s):

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[1]	Commodity demand forecasting based on multimodal data and recurrent neural networks for E-commerce platforms
	Intelligent Systems with Applications, 2024

[2]	Supply Chain Resilience: Strategies for Mitigating Disruptions and Enhancing Business Continuity
	Management Studies and Business Journal …, 2024

[3]	A Comprehensive Analysis of Demand Prediction Models in Supply Chain Management
	American Journal of Industrial and …, 2023

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